程序代写代做代考 Keras svm_cnn_roc

svm_cnn_roc

In [1]:

import pandas as pd
import numpy as np
from sklearn.decomposition import PCA
from sklearn.svm import SVC
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
from tqdm import tqdm_notebook
from sklearn.model_selection import GridSearchCV, StratifiedKFold, KFold
from itertools import cycle
from sklearn import svm, datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import label_binarize
from sklearn.multiclass import OneVsRestClassifier
from scipy import interp
from keras.models import Model
from keras.layers import SpatialDropout1D, Conv1D, Embedding, BatchNormalization, Flatten, Input, PReLU, Dropout, Dense, GRU, Reshape, GlobalAveragePooling1D
from keras.preprocessing import text, sequence
from sklearn.metrics import roc_curve, auc
from scipy.sparse import csr_matrix, hstack

D:\Users\ovo\Anaconda3\lib\site-packages\h5py\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.

In [2]:

def get_plot_fin(y, train_meta, n_class, fig_name):
fpr = dict()
tpr = dict()
roc_auc = dict()
for i in range(n_classes):
fpr[i], tpr[i], _ = roc_curve(y[:, i], train_meta[:, i])
roc_auc[i] = auc(fpr[i], tpr[i])

fpr[“micro”], tpr[“micro”], _ = roc_curve(y.ravel(), train_meta.ravel())
roc_auc[“micro”] = auc(fpr[“micro”], tpr[“micro”])

all_fpr = np.unique(np.concatenate([fpr[i] for i in range(n_classes)]))
# Then interpolate all ROC curves at this points
mean_tpr = np.zeros_like(all_fpr)
for i in range(n_classes):
mean_tpr += interp(all_fpr, fpr[i], tpr[i])
# Finally average it and compute AUC
mean_tpr /= n_classes
fpr[“macro”] = all_fpr
tpr[“macro”] = mean_tpr
roc_auc[“macro”] = auc(fpr[“macro”], tpr[“macro”])

# Plot all ROC curves
lw=2
plt.figure()
plt.plot(fpr[“micro”], tpr[“micro”],
label=’micro-average ROC curve (area = {0:0.2f})’
”.format(roc_auc[“micro”]),
color=’deeppink’, linestyle=’:’, linewidth=4)

plt.plot(fpr[“macro”], tpr[“macro”],
label=’macro-average ROC curve (area = {0:0.2f})’
”.format(roc_auc[“macro”]),
color=’navy’, linestyle=’:’, linewidth=4)

colors = cycle([‘aqua’, ‘darkorange’, ‘cornflowerblue’])
for i, color in zip(range(n_classes), colors):
plt.plot(fpr[i], tpr[i], color=color, lw=lw,
label=’ROC curve of class {0} (area = {1:0.2f})’
”.format(i, roc_auc[i]))

plt.plot([0, 1], [0, 1], ‘k–‘, lw=lw)
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel(‘False Positive Rate’)
plt.ylabel(‘True Positive Rate’)
plt.title(‘Some extension of Receiver operating characteristic to multi-class’)
plt.legend(loc=”lower right”)
savefig(“./{}.jpg”.format(fig_name))
plt.show()

In [3]:

train = pd.read_csv(‘1.csv’)
cols = train.columns.tolist()
cols[0]=’label’
cols[1]=’name’
train.columns = cols
y = train[‘label’]
train = train[train.columns[2:]]

In [4]:

y = label_binarize(y, classes=[‘A’, ‘B’, ‘C’, ‘D’])
n_classes = y.shape[1]

In [5]:

pca = PCA(n_components=32, whiten=True)
pca.fit(train.values)
train_feature = pca.transform(train.values)

svm model kfold¶

In [6]:

DATA_SPLIT_SEED = 2018
train_meta = np.zeros(y.shape)
kf = KFold(n_splits=5, random_state=233)
for train_idx, valid_idx in kf.split(train):
of_train, of_train_y = train_feature[train_idx], y[train_idx]
of_valid, of_valid_y = train_feature[valid_idx], y[valid_idx]
model = OneVsRestClassifier(svm.SVC(kernel=’linear’, probability=True,random_state=233))
y_score = model.fit(of_train, of_train_y).decision_function(of_valid)
train_meta[valid_idx] = y_score

plot roc fig¶

In [7]:

get_plot_fin(y, train_meta, n_classes, ‘svm roc’)

cnn model kfold¶

In [8]:

X_dummies = csr_matrix(pd.get_dummies(train,sparse=True).values)

In [9]:

def model_cnn():
filter_sizes = [1,2,3,5]
num_filters = 16

inp = Input(shape=(train.shape[1],))
rinp = Reshape((403, 4), input_shape=(train.shape[1],))(inp)
cnn_la = Conv1D(100, 10, activation=’relu’, input_shape=(403, 4))(rinp)
cnn_la = Conv1D(100, 10, activation=’relu’)(cnn_la)
avg = GlobalAveragePooling1D()(cnn_la)
outp = Dense(4, activation=”softmax”)(avg)
model = Model(inputs=inp, outputs=outp)
model.compile(loss=’categorical_crossentropy’, optimizer=’adam’, metrics=[‘accuracy’])

return model

In [10]:

DATA_SPLIT_SEED = 2018
train_meta = np.zeros(y.shape)
kf = KFold(n_splits=5, random_state=233)
for train_idx, valid_idx in kf.split(train):
of_train, of_train_y = X_dummies[train_idx], y[train_idx]
of_valid, of_valid_y = X_dummies[valid_idx], y[valid_idx]
model = model_cnn()
print(of_train.shape)
model.fit(of_train, of_train_y,
batch_size=2, epochs=4,
validation_data=(of_valid, of_valid_y),)
pred_glove_val_y = model.predict(of_valid, verbose=1)
train_meta[valid_idx] = pred_glove_val_y

(562, 1612)
Train on 562 samples, validate on 141 samples
Epoch 1/4
562/562 [==============================] – ETA: 2:14 – loss: 4.4959 – acc: 0.0000e+0 – ETA: 49s – loss: 1.7499 – acc: 0.6667 – ETA: 33s – loss: 3.1686 – acc: 0.60 – ETA: 26s – loss: 3.6903 – acc: 0.57 – ETA: 22s – loss: 2.8860 – acc: 0.66 – ETA: 21s – loss: 2.6098 – acc: 0.70 – ETA: 19s – loss: 2.9426 – acc: 0.62 – ETA: 19s – loss: 2.7267 – acc: 0.65 – ETA: 17s – loss: 2.3767 – acc: 0.70 – ETA: 16s – loss: 2.5247 – acc: 0.70 – ETA: 16s – loss: 2.6939 – acc: 0.71 – ETA: 15s – loss: 3.0225 – acc: 0.69 – ETA: 14s – loss: 3.3494 – acc: 0.65 – ETA: 14s – loss: 3.4057 – acc: 0.60 – ETA: 13s – loss: 3.2053 – acc: 0.59 – ETA: 13s – loss: 3.2739 – acc: 0.60 – ETA: 12s – loss: 3.5799 – acc: 0.59 – ETA: 12s – loss: 3.6098 – acc: 0.60 – ETA: 11s – loss: 3.6432 – acc: 0.61 – ETA: 11s – loss: 3.4663 – acc: 0.63 – ETA: 11s – loss: 3.3155 – acc: 0.64 – ETA: 10s – loss: 3.1859 – acc: 0.64 – ETA: 10s – loss: 3.4338 – acc: 0.62 – ETA: 10s – loss: 3.3153 – acc: 0.63 – ETA: 10s – loss: 3.3509 – acc: 0.63 – ETA: 10s – loss: 3.3140 – acc: 0.63 – ETA: 9s – loss: 3.2977 – acc: 0.6275 – ETA: 9s – loss: 3.2540 – acc: 0.622 – ETA: 9s – loss: 3.2257 – acc: 0.627 – ETA: 9s – loss: 3.1173 – acc: 0.640 – ETA: 9s – loss: 3.1486 – acc: 0.644 – ETA: 9s – loss: 3.2511 – acc: 0.639 – ETA: 8s – loss: 3.3922 – acc: 0.634 – ETA: 8s – loss: 3.5369 – acc: 0.630 – ETA: 8s – loss: 3.6362 – acc: 0.626 – ETA: 8s – loss: 3.5308 – acc: 0.637 – ETA: 8s – loss: 3.7376 – acc: 0.626 – ETA: 8s – loss: 3.9160 – acc: 0.616 – ETA: 8s – loss: 3.8631 – acc: 0.621 – ETA: 8s – loss: 3.7638 – acc: 0.631 – ETA: 8s – loss: 3.8751 – acc: 0.628 – ETA: 7s – loss: 3.8780 – acc: 0.631 – ETA: 7s – loss: 3.7836 – acc: 0.640 – ETA: 7s – loss: 3.8742 – acc: 0.636 – ETA: 7s – loss: 3.8216 – acc: 0.633 – ETA: 7s – loss: 3.7692 – acc: 0.625 – ETA: 7s – loss: 3.7077 – acc: 0.622 – ETA: 7s – loss: 3.6718 – acc: 0.608 – ETA: 7s – loss: 3.7466 – acc: 0.595 – ETA: 7s – loss: 3.7731 – acc: 0.588 – ETA: 7s – loss: 3.8219 – acc: 0.581 – ETA: 7s – loss: 3.9066 – acc: 0.580 – ETA: 6s – loss: 3.9211 – acc: 0.578 – ETA: 6s – loss: 3.8561 – acc: 0.586 – ETA: 6s – loss: 3.8631 – acc: 0.589 – ETA: 6s – loss: 3.8286 – acc: 0.583 – ETA: 6s – loss: 3.8366 – acc: 0.586 – ETA: 6s – loss: 3.7701 – acc: 0.593 – ETA: 6s – loss: 3.8572 – acc: 0.587 – ETA: 6s – loss: 3.8037 – acc: 0.590 – ETA: 6s – loss: 3.8296 – acc: 0.584 – ETA: 6s – loss: 3.8457 – acc: 0.583 – ETA: 5s – loss: 3.7986 – acc: 0.586 – ETA: 5s – loss: 3.8082 – acc: 0.588 – ETA: 5s – loss: 3.7547 – acc: 0.595 – ETA: 5s – loss: 3.7998 – acc: 0.589 – ETA: 5s – loss: 3.7572 – acc: 0.592 – ETA: 5s – loss: 3.7453 – acc: 0.587 – ETA: 5s – loss: 3.7078 – acc: 0.585 – ETA: 5s – loss: 3.7208 – acc: 0.588 – ETA: 5s – loss: 3.6775 – acc: 0.590 – ETA: 5s – loss: 3.6432 – acc: 0.592 – ETA: 5s – loss: 3.6750 – acc: 0.591 – ETA: 5s – loss: 3.7141 – acc: 0.587 – ETA: 5s – loss: 3.6705 – acc: 0.589 – ETA: 5s – loss: 3.6342 – acc: 0.591 – ETA: 4s – loss: 3.6301 – acc: 0.590 – ETA: 4s – loss: 3.5871 – acc: 0.596 – ETA: 4s – loss: 3.5519 – acc: 0.601 – ETA: 4s – loss: 3.5455 – acc: 0.596 – ETA: 4s – loss: 3.5200 – acc: 0.595 – ETA: 4s – loss: 3.4871 – acc: 0.597 – ETA: 4s – loss: 3.4552 – acc: 0.596 – ETA: 4s – loss: 3.4282 – acc: 0.595 – ETA: 4s – loss: 3.4042 – acc: 0.593 – ETA: 4s – loss: 3.3729 – acc: 0.595 – ETA: 4s – loss: 3.3922 – acc: 0.594 – ETA: 3s – loss: 3.3677 – acc: 0.593 – ETA: 3s – loss: 3.3472 – acc: 0.592 – ETA: 3s – loss: 3.3180 – acc: 0.594 – ETA: 3s – loss: 3.2949 – acc: 0.593 – ETA: 3s – loss: 3.2722 – acc: 0.592 – ETA: 3s – loss: 3.2455 – acc: 0.596 – ETA: 3s – loss: 3.2237 – acc: 0.598 – ETA: 3s – loss: 3.1919 – acc: 0.602 – ETA: 3s – loss: 3.1684 – acc: 0.604 – ETA: 3s – loss: 3.1456 – acc: 0.605 – ETA: 3s – loss: 3.1310 – acc: 0.604 – ETA: 3s – loss: 3.1094 – acc: 0.603 – ETA: 3s – loss: 3.0842 – acc: 0.602 – ETA: 2s – loss: 3.1105 – acc: 0.599 – ETA: 2s – loss: 3.0940 – acc: 0.598 – ETA: 2s – loss: 3.0699 – acc: 0.602 – ETA: 2s – loss: 3.0495 – acc: 0.603 – ETA: 2s – loss: 3.0313 – acc: 0.602 – ETA: 2s – loss: 3.0507 – acc: 0.601 – ETA: 2s – loss: 3.0301 – acc: 0.602 – ETA: 2s – loss: 3.0148 – acc: 0.604 – ETA: 2s – loss: 3.0146 – acc: 0.603 – ETA: 2s – loss: 2.9964 – acc: 0.604 – ETA: 2s – loss: 2.9864 – acc: 0.603 – ETA: 2s – loss: 2.9702 – acc: 0.602 – ETA: 2s – loss: 2.9537 – acc: 0.601 – ETA: 2s – loss: 2.9378 – acc: 0.603 – ETA: 1s – loss: 2.9194 – acc: 0.606 – ETA: 1s – loss: 2.9508 – acc: 0.604 – ETA: 1s – loss: 2.9403 – acc: 0.605 – ETA: 1s – loss: 2.9551 – acc: 0.604 – ETA: 1s – loss: 2.9395 – acc: 0.606 – ETA: 1s – loss: 2.9235 – acc: 0.607 – ETA: 1s – loss: 2.9082 – acc: 0.608 – ETA: 1s – loss: 2.8928 – acc: 0.611 – ETA: 1s – loss: 2.8756 – acc: 0.613 – ETA: 1s – loss: 2.8727 – acc: 0.614 – ETA: 1s – loss: 2.8643 – acc: 0.615 – ETA: 1s – loss: 2.8550 – acc: 0.617 – ETA: 1s – loss: 2.8424 – acc: 0.616 – ETA: 1s – loss: 2.8252 – acc: 0.617 – ETA: 1s – loss: 2.8152 – acc: 0.616 – ETA: 1s – loss: 2.7996 – acc: 0.617 – ETA: 1s – loss: 2.7853 – acc: 0.616 – ETA: 0s – loss: 2.7993 – acc: 0.617 – ETA: 0s – loss: 2.8173 – acc: 0.614 – ETA: 0s – loss: 2.7981 – acc: 0.617 – ETA: 0s – loss: 2.7773 – acc: 0.620 – ETA: 0s – loss: 2.7967 – acc: 0.617 – ETA: 0s – loss: 2.8089 – acc: 0.618 – ETA: 0s – loss: 2.8124 – acc: 0.618 – ETA: 0s – loss: 2.8010 – acc: 0.619 – ETA: 0s – loss: 2.7838 – acc: 0.621 – ETA: 0s – loss: 2.7701 – acc: 0.622 – ETA: 0s – loss: 2.7556 – acc: 0.623 – ETA: 0s – loss: 2.7407 – acc: 0.626 – ETA: 0s – loss: 2.7544 – acc: 0.625 – 11s 20ms/step – loss: 2.7429 – acc: 0.6263 – val_loss: 0.9885 – val_acc: 0.8723
Epoch 2/4
562/562 [==============================] – ETA: 9s – loss: 0.4999 – acc: 1.000 – ETA: 9s – loss: 0.6119 – acc: 0.833 – ETA: 8s – loss: 2.0132 – acc: 0.600 – ETA: 8s – loss: 2.3664 – acc: 0.428 – ETA: 9s – loss: 2.1256 – acc: 0.444 – ETA: 10s – loss: 1.8835 – acc: 0.50 – ETA: 9s – loss: 1.7365 – acc: 0.5385 – ETA: 9s – loss: 1.6064 – acc: 0.600 – ETA: 9s – loss: 1.5193 – acc: 0.617 – ETA: 9s – loss: 2.1777 – acc: 0.605 – ETA: 9s – loss: 2.0697 – acc: 0.595 – ETA: 9s – loss: 1.9875 – acc: 0.587 – ETA: 8s – loss: 2.2260 – acc: 0.580 – ETA: 8s – loss: 2.1382 – acc: 0.592 – ETA: 8s – loss: 2.0575 – acc: 0.603 – ETA: 8s – loss: 2.2313 – acc: 0.612 – ETA: 9s – loss: 2.1929 – acc: 0.625 – ETA: 9s – loss: 2.1569 – acc: 0.636 – ETA: 9s – loss: 2.1539 – acc: 0.614 – ETA: 9s – loss: 2.1220 – acc: 0.625 – ETA: 9s – loss: 2.0500 – acc: 0.631 – ETA: 9s – loss: 2.0452 – acc: 0.625 – ETA: 9s – loss: 1.9923 – acc: 0.642 – ETA: 9s – loss: 1.9671 – acc: 0.651 – ETA: 9s – loss: 1.9653 – acc: 0.644 – ETA: 9s – loss: 1.9448 – acc: 0.652 – ETA: 9s – loss: 1.8919 – acc: 0.666 – ETA: 9s – loss: 1.8794 – acc: 0.663 – ETA: 9s – loss: 1.8707 – acc: 0.660 – ETA: 9s – loss: 1.8452 – acc: 0.653 – ETA: 9s – loss: 1.8150 – acc: 0.648 – ETA: 9s – loss: 1.8011 – acc: 0.645 – ETA: 9s – loss: 1.7757 – acc: 0.651 – ETA: 9s – loss: 1.7630 – acc: 0.640 – ETA: 9s – loss: 1.8716 – acc: 0.627 – ETA: 9s – loss: 1.8342 – acc: 0.639 – ETA: 9s – loss: 1.7937 – acc: 0.642 – ETA: 9s – loss: 1.7880 – acc: 0.623 – ETA: 8s – loss: 1.8724 – acc: 0.619 – ETA: 8s – loss: 1.8312 – acc: 0.630 – ETA: 8s – loss: 1.8481 – acc: 0.612 – ETA: 8s – loss: 1.8135 – acc: 0.623 – ETA: 8s – loss: 1.7842 – acc: 0.633 – ETA: 8s – loss: 1.7698 – acc: 0.638 – ETA: 8s – loss: 1.7515 – acc: 0.634 – ETA: 8s – loss: 1.7252 – acc: 0.637 – ETA: 8s – loss: 1.6924 – acc: 0.646 – ETA: 8s – loss: 1.7284 – acc: 0.642 – ETA: 8s – loss: 1.7140 – acc: 0.647 – ETA: 8s – loss: 1.6996 – acc: 0.643 – ETA: 7s – loss: 1.6829 – acc: 0.640 – ETA: 7s – loss: 1.6715 – acc: 0.637 – ETA: 7s – loss: 1.7008 – acc: 0.639 – ETA: 7s – loss: 1.6780 – acc: 0.647 – ETA: 7s – loss: 1.6649 – acc: 0.644 – ETA: 7s – loss: 1.6505 – acc: 0.648 – ETA: 7s – loss: 1.6211 – acc: 0.655 – ETA: 7s – loss: 1.6086 – acc: 0.658 – ETA: 7s – loss: 1.5971 – acc: 0.661 – ETA: 7s – loss: 1.5934 – acc: 0.660 – ETA: 7s – loss: 1.6283 – acc: 0.661 – ETA: 7s – loss: 1.6905 – acc: 0.654 – ETA: 7s – loss: 1.6622 – acc: 0.660 – ETA: 7s – loss: 1.6509 – acc: 0.657 – ETA: 6s – loss: 1.6293 – acc: 0.663 – ETA: 6s – loss: 1.6069 – acc: 0.669 – ETA: 6s – loss: 1.6126 – acc: 0.658 – ETA: 6s – loss: 1.5896 – acc: 0.663 – ETA: 6s – loss: 1.5814 – acc: 0.661 – ETA: 6s – loss: 1.5615 – acc: 0.666 – ETA: 6s – loss: 1.5553 – acc: 0.664 – ETA: 6s – loss: 1.5375 – acc: 0.669 – ETA: 6s – loss: 1.5250 – acc: 0.670 – ETA: 6s – loss: 1.5057 – acc: 0.675 – ETA: 5s – loss: 1.4876 – acc: 0.680 – ETA: 5s – loss: 1.4820 – acc: 0.677 – ETA: 5s – loss: 1.4766 – acc: 0.675 – ETA: 5s – loss: 1.4611 – acc: 0.679 – ETA: 5s – loss: 1.4627 – acc: 0.677 – ETA: 5s – loss: 1.4484 – acc: 0.681 – ETA: 5s – loss: 1.4323 – acc: 0.686 – ETA: 5s – loss: 1.4239 – acc: 0.687 – ETA: 5s – loss: 1.4131 – acc: 0.687 – ETA: 5s – loss: 1.4083 – acc: 0.685 – ETA: 5s – loss: 1.3983 – acc: 0.686 – ETA: 4s – loss: 1.3867 – acc: 0.690 – ETA: 4s – loss: 1.3771 – acc: 0.687 – ETA: 4s – loss: 1.3700 – acc: 0.688 – ETA: 4s – loss: 1.4096 – acc: 0.686 – ETA: 4s – loss: 1.4210 – acc: 0.681 – ETA: 4s – loss: 1.4100 – acc: 0.684 – ETA: 4s – loss: 1.4111 – acc: 0.682 – ETA: 4s – loss: 1.4025 – acc: 0.683 – ETA: 4s – loss: 1.3949 – acc: 0.685 – ETA: 4s – loss: 1.4056 – acc: 0.684 – ETA: 4s – loss: 1.4107 – acc: 0.683 – ETA: 4s – loss: 1.4446 – acc: 0.681 – ETA: 4s – loss: 1.4504 – acc: 0.676 – ETA: 4s – loss: 1.4481 – acc: 0.675 – ETA: 4s – loss: 1.4531 – acc: 0.674 – ETA: 4s – loss: 1.4464 – acc: 0.672 – ETA: 3s – loss: 1.4822 – acc: 0.667 – ETA: 3s – loss: 1.4821 – acc: 0.665 – ETA: 3s – loss: 1.4721 – acc: 0.666 – ETA: 3s – loss: 1.4705 – acc: 0.664 – ETA: 3s – loss: 1.4671 – acc: 0.665 – ETA: 3s – loss: 1.4597 – acc: 0.666 – ETA: 3s – loss: 1.4544 – acc: 0.667 – ETA: 3s – loss: 1.5131 – acc: 0.665 – ETA: 3s – loss: 1.5048 – acc: 0.669 – ETA: 3s – loss: 1.4991 – acc: 0.670 – ETA: 3s – loss: 1.4914 – acc: 0.673 – ETA: 3s – loss: 1.4848 – acc: 0.674 – ETA: 2s – loss: 1.5153 – acc: 0.674 – ETA: 2s – loss: 1.5113 – acc: 0.673 – ETA: 2s – loss: 1.5098 – acc: 0.669 – ETA: 2s – loss: 1.5025 – acc: 0.672 – ETA: 2s – loss: 1.4961 – acc: 0.670 – ETA: 2s – loss: 1.4963 – acc: 0.666 – ETA: 2s – loss: 1.4872 – acc: 0.669 – ETA: 2s – loss: 1.4795 – acc: 0.670 – ETA: 2s – loss: 1.4756 – acc: 0.671 – ETA: 2s – loss: 1.4654 – acc: 0.671 – ETA: 2s – loss: 1.4599 – acc: 0.673 – ETA: 2s – loss: 1.4544 – acc: 0.674 – ETA: 1s – loss: 1.4532 – acc: 0.674 – ETA: 1s – loss: 1.4426 – acc: 0.677 – ETA: 1s – loss: 1.4352 – acc: 0.678 – ETA: 1s – loss: 1.4346 – acc: 0.678 – ETA: 1s – loss: 1.4291 – acc: 0.680 – ETA: 1s – loss: 1.4572 – acc: 0.678 – ETA: 1s – loss: 1.4576 – acc: 0.677 – ETA: 1s – loss: 1.4515 – acc: 0.677 – ETA: 1s – loss: 1.4412 – acc: 0.680 – ETA: 1s – loss: 1.4634 – acc: 0.680 – ETA: 1s – loss: 1.4584 – acc: 0.681 – ETA: 1s – loss: 1.4604 – acc: 0.680 – ETA: 1s – loss: 1.4539 – acc: 0.680 – ETA: 1s – loss: 1.4436 – acc: 0.683 – ETA: 0s – loss: 1.4482 – acc: 0.681 – ETA: 0s – loss: 1.4501 – acc: 0.678 – ETA: 0s – loss: 1.4447 – acc: 0.678 – ETA: 0s – loss: 1.4374 – acc: 0.679 – ETA: 0s – loss: 1.4326 – acc: 0.678 – ETA: 0s – loss: 1.4328 – acc: 0.676 – ETA: 0s – loss: 1.4541 – acc: 0.677 – ETA: 0s – loss: 1.4517 – acc: 0.675 – ETA: 0s – loss: 1.4455 – acc: 0.676 – ETA: 0s – loss: 1.4429 – acc: 0.677 – ETA: 0s – loss: 1.4442 – acc: 0.675 – ETA: 0s – loss: 1.4411 – acc: 0.676 – ETA: 0s – loss: 1.4369 – acc: 0.675 – 11s 20ms/step – loss: 1.4334 – acc: 0.6762 – val_loss: 0.7867 – val_acc: 0.8511
Epoch 3/4
562/562 [==============================] – ETA: 6s – loss: 1.2730 – acc: 0.500 – ETA: 7s – loss: 0.9986 – acc: 0.666 – ETA: 7s – loss: 1.1061 – acc: 0.600 – ETA: 7s – loss: 0.8853 – acc: 0.714 – ETA: 7s – loss: 0.9098 – acc: 0.666 – ETA: 7s – loss: 1.0008 – acc: 0.590 – ETA: 7s – loss: 1.0486 – acc: 0.576 – ETA: 7s – loss: 1.0619 – acc: 0.566 – ETA: 7s – loss: 1.0058 – acc: 0.588 – ETA: 7s – loss: 0.9793 – acc: 0.605 – ETA: 7s – loss: 0.9284 – acc: 0.642 – ETA: 7s – loss: 0.9711 – acc: 0.630 – ETA: 7s – loss: 0.9239 – acc: 0.660 – ETA: 7s – loss: 0.8926 – acc: 0.666 – ETA: 7s – loss: 0.8973 – acc: 0.655 – ETA: 6s – loss: 0.8804 – acc: 0.661 – ETA: 6s – loss: 0.8726 – acc: 0.666 – ETA: 6s – loss: 0.8615 – acc: 0.671 – ETA: 6s – loss: 0.8408 – acc: 0.689 – ETA: 6s – loss: 0.8156 – acc: 0.705 – ETA: 6s – loss: 0.8461 – acc: 0.682 – ETA: 6s – loss: 0.8542 – acc: 0.686 – ETA: 6s – loss: 0.8429 – acc: 0.688 – ETA: 6s – loss: 0.8139 – acc: 0.697 – ETA: 6s – loss: 0.8047 – acc: 0.700 – ETA: 6s – loss: 0.7966 – acc: 0.701 – ETA: 6s – loss: 0.9448 – acc: 0.694 – ETA: 6s – loss: 1.0608 – acc: 0.696 – ETA: 6s – loss: 1.0527 – acc: 0.698 – ETA: 6s – loss: 1.0346 – acc: 0.700 – ETA: 6s – loss: 1.0532 – acc: 0.685 – ETA: 5s – loss: 1.0564 – acc: 0.679 – ETA: 5s – loss: 1.0545 – acc: 0.666 – ETA: 5s – loss: 1.0575 – acc: 0.659 – ETA: 5s – loss: 1.1036 – acc: 0.654 – ETA: 5s – loss: 1.0838 – acc: 0.664 – ETA: 5s – loss: 1.0656 – acc: 0.673 – ETA: 5s – loss: 1.0887 – acc: 0.668 – ETA: 5s – loss: 1.1506 – acc: 0.664 – ETA: 5s – loss: 1.1302 – acc: 0.672 – ETA: 5s – loss: 1.1209 – acc: 0.668 – ETA: 5s – loss: 1.1166 – acc: 0.664 – ETA: 5s – loss: 1.1037 – acc: 0.666 – ETA: 5s – loss: 1.1875 – acc: 0.662 – ETA: 5s – loss: 1.1849 – acc: 0.659 – ETA: 5s – loss: 1.1640 – acc: 0.666 – ETA: 5s – loss: 1.1423 – acc: 0.673 – ETA: 5s – loss: 1.1294 – acc: 0.675 – ETA: 4s – loss: 1.1108 – acc: 0.681 – ETA: 4s – loss: 1.1073 – acc: 0.678 – ETA: 4s – loss: 1.0974 – acc: 0.679 – ETA: 4s – loss: 1.1024 – acc: 0.676 – ETA: 4s – loss: 1.1002 – acc: 0.677 – ETA: 4s – loss: 1.1014 – acc: 0.674 – ETA: 4s – loss: 1.0860 – acc: 0.680 – ETA: 4s – loss: 1.0694 – acc: 0.685 – ETA: 4s – loss: 1.0584 – acc: 0.687 – ETA: 4s – loss: 1.0432 – acc: 0.692 – ETA: 4s – loss: 1.0282 – acc: 0.697 – ETA: 4s – loss: 1.0141 – acc: 0.702 – ETA: 4s – loss: 0.9996 – acc: 0.707 – ETA: 4s – loss: 1.0058 – acc: 0.704 – ETA: 4s – loss: 0.9920 – acc: 0.708 – ETA: 4s – loss: 1.0943 – acc: 0.701 – ETA: 4s – loss: 1.0939 – acc: 0.698 – ETA: 4s – loss: 1.0955 – acc: 0.695 – ETA: 4s – loss: 1.1048 – acc: 0.692 – ETA: 4s – loss: 1.1083 – acc: 0.689 – ETA: 4s – loss: 1.1703 – acc: 0.679 – ETA: 4s – loss: 1.1817 – acc: 0.673 – ETA: 4s – loss: 1.1773 – acc: 0.671 – ETA: 3s – loss: 1.1745 – acc: 0.672 – ETA: 3s – loss: 1.1748 – acc: 0.666 – ETA: 3s – loss: 1.1684 – acc: 0.667 – ETA: 3s – loss: 1.1646 – acc: 0.668 – ETA: 3s – loss: 1.1613 – acc: 0.666 – ETA: 3s – loss: 1.1618 – acc: 0.664 – ETA: 3s – loss: 1.1549 – acc: 0.665 – ETA: 3s – loss: 1.1436 – acc: 0.669 – ETA: 3s – loss: 1.1393 – acc: 0.670 – ETA: 3s – loss: 1.1367 – acc: 0.671 – ETA: 3s – loss: 1.1298 – acc: 0.669 – ETA: 3s – loss: 1.1453 – acc: 0.667 – ETA: 3s – loss: 1.1370 – acc: 0.668 – ETA: 3s – loss: 1.1271 – acc: 0.672 – ETA: 3s – loss: 1.1168 – acc: 0.676 – ETA: 3s – loss: 1.1088 – acc: 0.677 – ETA: 3s – loss: 1.0984 – acc: 0.680 – ETA: 2s – loss: 1.0933 – acc: 0.681 – ETA: 2s – loss: 1.0905 – acc: 0.679 – ETA: 2s – loss: 1.0849 – acc: 0.680 – ETA: 2s – loss: 1.0847 – acc: 0.678 – ETA: 2s – loss: 1.0984 – acc: 0.673 – ETA: 2s – loss: 1.0882 – acc: 0.677 – ETA: 2s – loss: 1.0782 – acc: 0.680 – ETA: 2s – loss: 1.0853 – acc: 0.676 – ETA: 2s – loss: 1.0862 – acc: 0.676 – ETA: 2s – loss: 1.0821 – acc: 0.677 – ETA: 2s – loss: 1.0858 – acc: 0.675 – ETA: 2s – loss: 1.0834 – acc: 0.676 – ETA: 2s – loss: 1.0764 – acc: 0.679 – ETA: 2s – loss: 1.0732 – acc: 0.680 – ETA: 2s – loss: 1.1037 – acc: 0.681 – ETA: 2s – loss: 1.0980 – acc: 0.681 – ETA: 2s – loss: 1.0932 – acc: 0.682 – ETA: 1s – loss: 1.0933 – acc: 0.680 – ETA: 1s – loss: 1.0915 – acc: 0.681 – ETA: 1s – loss: 1.0995 – acc: 0.677 – ETA: 1s – loss: 1.0974 – acc: 0.675 – ETA: 1s – loss: 1.0926 – acc: 0.675 – ETA: 1s – loss: 1.0926 – acc: 0.674 – ETA: 1s – loss: 1.0935 – acc: 0.672 – ETA: 1s – loss: 1.0899 – acc: 0.673 – ETA: 1s – loss: 1.0912 – acc: 0.671 – ETA: 1s – loss: 1.0912 – acc: 0.670 – ETA: 1s – loss: 1.0910 – acc: 0.668 – ETA: 1s – loss: 1.0935 – acc: 0.667 – ETA: 1s – loss: 1.0880 – acc: 0.670 – ETA: 1s – loss: 1.0811 – acc: 0.672 – ETA: 1s – loss: 1.0780 – acc: 0.673 – ETA: 1s – loss: 1.0746 – acc: 0.674 – ETA: 1s – loss: 1.0680 – acc: 0.676 – ETA: 0s – loss: 1.0649 – acc: 0.677 – ETA: 0s – loss: 1.0605 – acc: 0.678 – ETA: 0s – loss: 1.0583 – acc: 0.676 – ETA: 0s – loss: 1.0549 – acc: 0.676 – ETA: 0s – loss: 1.0523 – acc: 0.675 – ETA: 0s – loss: 1.0568 – acc: 0.673 – ETA: 0s – loss: 1.0558 – acc: 0.672 – ETA: 0s – loss: 1.0488 – acc: 0.674 – ETA: 0s – loss: 1.0421 – acc: 0.677 – ETA: 0s – loss: 1.0356 – acc: 0.679 – ETA: 0s – loss: 1.0317 – acc: 0.680 – ETA: 0s – loss: 1.0254 – acc: 0.682 – ETA: 0s – loss: 1.0264 – acc: 0.681 – ETA: 0s – loss: 1.0232 – acc: 0.681 – ETA: 0s – loss: 1.0202 – acc: 0.682 – 9s 16ms/step – loss: 1.0141 – acc: 0.6851 – val_loss: 0.7338 – val_acc: 0.8440
Epoch 4/4
562/562 [==============================] – ETA: 10s – loss: 1.4161 – acc: 0.50 – ETA: 9s – loss: 1.3466 – acc: 0.5000 – ETA: 8s – loss: 1.0125 – acc: 0.600 – ETA: 7s – loss: 0.8850 – acc: 0.642 – ETA: 7s – loss: 2.5586 – acc: 0.555 – ETA: 7s – loss: 2.1149 – acc: 0.636 – ETA: 7s – loss: 1.8003 – acc: 0.692 – ETA: 7s – loss: 1.7393 – acc: 0.666 – ETA: 7s – loss: 1.6658 – acc: 0.647 – ETA: 7s – loss: 1.6197 – acc: 0.631 – ETA: 7s – loss: 1.5087 – acc: 0.642 – ETA: 7s – loss: 1.4108 – acc: 0.652 – ETA: 7s – loss: 1.3446 – acc: 0.660 – ETA: 8s – loss: 1.3317 – acc: 0.648 – ETA: 7s – loss: 1.2986 – acc: 0.637 – ETA: 7s – loss: 1.2983 – acc: 0.645 – ETA: 7s – loss: 1.2970 – acc: 0.636 – ETA: 7s – loss: 1.2656 – acc: 0.628 – ETA: 7s – loss: 1.2142 – acc: 0.648 – ETA: 7s – loss: 1.2291 – acc: 0.641 – ETA: 7s – loss: 1.2168 – acc: 0.646 – ETA: 7s – loss: 1.1971 – acc: 0.639 – ETA: 7s – loss: 1.1788 – acc: 0.633 – ETA: 7s – loss: 1.1406 – acc: 0.648 – ETA: 7s – loss: 1.1106 – acc: 0.663 – ETA: 7s – loss: 1.0829 – acc: 0.676 – ETA: 7s – loss: 1.0970 – acc: 0.673 – ETA: 7s – loss: 1.0659 – acc: 0.685 – ETA: 7s – loss: 1.0360 – acc: 0.696 – ETA: 7s – loss: 1.0174 – acc: 0.698 – ETA: 6s – loss: 1.1370 – acc: 0.691 – ETA: 6s – loss: 1.1037 – acc: 0.701 – ETA: 6s – loss: 1.0846 – acc: 0.703 – ETA: 6s – loss: 1.0561 – acc: 0.712 – ETA: 6s – loss: 1.0395 – acc: 0.713 – ETA: 6s – loss: 1.1186 – acc: 0.707 – ETA: 6s – loss: 1.0887 – acc: 0.715 – ETA: 6s – loss: 1.0916 – acc: 0.709 – ETA: 6s – loss: 1.0973 – acc: 0.703 – ETA: 6s – loss: 1.0876 – acc: 0.705 – ETA: 6s – loss: 1.0848 – acc: 0.706 – ETA: 6s – loss: 1.0671 – acc: 0.713 – ETA: 6s – loss: 1.1231 – acc: 0.708 – ETA: 6s – loss: 1.1150 – acc: 0.709 – ETA: 6s – loss: 1.1874 – acc: 0.710 – ETA: 5s – loss: 1.1784 – acc: 0.711 – ETA: 5s – loss: 1.1606 – acc: 0.717 – ETA: 5s – loss: 1.1614 – acc: 0.707 – ETA: 5s – loss: 1.1514 – acc: 0.708 – ETA: 5s – loss: 1.1372 – acc: 0.714 – ETA: 5s – loss: 1.1293 – acc: 0.715 – ETA: 5s – loss: 1.1153 – acc: 0.715 – ETA: 5s – loss: 1.1132 – acc: 0.711 – ETA: 5s – loss: 1.1005 – acc: 0.712 – ETA: 5s – loss: 1.0953 – acc: 0.708 – ETA: 5s – loss: 1.0961 – acc: 0.709 – ETA: 5s – loss: 1.0843 – acc: 0.714 – ETA: 5s – loss: 1.0886 – acc: 0.704 – ETA: 5s – loss: 1.0859 – acc: 0.705 – ETA: 4s – loss: 1.0741 – acc: 0.710 – ETA: 4s – loss: 1.0645 – acc: 0.710 – ETA: 4s – loss: 1.0511 – acc: 0.713 – ETA: 4s – loss: 1.0466 – acc: 0.714 – ETA: 4s – loss: 1.0553 – acc: 0.710 – ETA: 4s – loss: 1.0494 – acc: 0.711 – ETA: 4s – loss: 1.0500 – acc: 0.712 – ETA: 4s – loss: 1.0461 – acc: 0.712 – ETA: 4s – loss: 1.0332 – acc: 0.716 – ETA: 4s – loss: 1.0368 – acc: 0.713 – ETA: 4s – loss: 1.0493 – acc: 0.707 – ETA: 4s – loss: 1.0559 – acc: 0.704 – ETA: 4s – loss: 1.0622 – acc: 0.704 – ETA: 4s – loss: 1.0876 – acc: 0.695 – ETA: 3s – loss: 1.0846 – acc: 0.695 – ETA: 3s – loss: 1.0765 – acc: 0.696 – ETA: 3s – loss: 1.0674 – acc: 0.700 – ETA: 3s – loss: 1.0598 – acc: 0.704 – ETA: 3s – loss: 1.0576 – acc: 0.701 – ETA: 3s – loss: 1.0561 – acc: 0.699 – ETA: 3s – loss: 1.1039 – acc: 0.693 – ETA: 3s – loss: 1.0940 – acc: 0.697 – ETA: 3s – loss: 1.0903 – acc: 0.698 – ETA: 3s – loss: 1.0865 – acc: 0.698 – ETA: 3s – loss: 1.0865 – acc: 0.696 – ETA: 3s – loss: 1.0813 – acc: 0.697 – ETA: 3s – loss: 1.0819 – acc: 0.694 – ETA: 3s – loss: 1.0721 – acc: 0.698 – ETA: 3s – loss: 1.0725 – acc: 0.696 – ETA: 3s – loss: 1.0631 – acc: 0.699 – ETA: 3s – loss: 1.0824 – acc: 0.694 – ETA: 2s – loss: 1.0799 – acc: 0.694 – ETA: 2s – loss: 1.0783 – acc: 0.691 – ETA: 2s – loss: 1.1264 – acc: 0.684 – ETA: 2s – loss: 1.1231 – acc: 0.682 – ETA: 2s – loss: 1.1176 – acc: 0.683 – ETA: 2s – loss: 1.1085 – acc: 0.686 – ETA: 2s – loss: 1.1006 – acc: 0.689 – ETA: 2s – loss: 1.0978 – acc: 0.690 – ETA: 2s – loss: 1.0954 – acc: 0.691 – ETA: 2s – loss: 1.0930 – acc: 0.691 – ETA: 2s – loss: 1.0850 – acc: 0.694 – ETA: 2s – loss: 1.0853 – acc: 0.692 – ETA: 2s – loss: 1.0790 – acc: 0.693 – ETA: 2s – loss: 1.0792 – acc: 0.691 – ETA: 2s – loss: 1.0779 – acc: 0.691 – ETA: 2s – loss: 1.0908 – acc: 0.690 – ETA: 1s – loss: 1.0913 – acc: 0.690 – ETA: 1s – loss: 1.0869 – acc: 0.691 – ETA: 1s – loss: 1.0878 – acc: 0.689 – ETA: 1s – loss: 1.0821 – acc: 0.690 – ETA: 1s – loss: 1.0919 – acc: 0.686 – ETA: 1s – loss: 1.0855 – acc: 0.688 – ETA: 1s – loss: 1.0775 – acc: 0.691 – ETA: 1s – loss: 1.0814 – acc: 0.687 – ETA: 1s – loss: 1.0763 – acc: 0.687 – ETA: 1s – loss: 1.0687 – acc: 0.690 – ETA: 1s – loss: 1.0654 – acc: 0.690 – ETA: 1s – loss: 1.0648 – acc: 0.691 – ETA: 1s – loss: 1.0592 – acc: 0.691 – ETA: 1s – loss: 1.0524 – acc: 0.694 – ETA: 1s – loss: 1.0504 – acc: 0.694 – ETA: 1s – loss: 1.0479 – acc: 0.693 – ETA: 0s – loss: 1.0514 – acc: 0.691 – ETA: 0s – loss: 1.0477 – acc: 0.692 – ETA: 0s – loss: 1.0441 – acc: 0.692 – ETA: 0s – loss: 1.0415 – acc: 0.692 – ETA: 0s – loss: 1.0347 – acc: 0.695 – ETA: 0s – loss: 1.0585 – acc: 0.695 – ETA: 0s – loss: 1.0547 – acc: 0.696 – ETA: 0s – loss: 1.0493 – acc: 0.698 – ETA: 0s – loss: 1.0422 – acc: 0.700 – ETA: 0s – loss: 1.0402 – acc: 0.701 – ETA: 0s – loss: 1.0387 – acc: 0.699 – ETA: 0s – loss: 1.0356 – acc: 0.700 – ETA: 0s – loss: 1.0362 – acc: 0.700 – ETA: 0s – loss: 1.0303 – acc: 0.702 – ETA: 0s – loss: 1.0249 – acc: 0.704 – ETA: 0s – loss: 1.0264 – acc: 0.705 – ETA: 0s – loss: 1.0208 – acc: 0.707 – 9s 16ms/step – loss: 1.0179 – acc: 0.7082 – val_loss: 0.6061 – val_acc: 0.8723
141/141 [==============================] – ETA: – ETA: – ETA: – ETA: – 1s 5ms/step
(562, 1612)
Train on 562 samples, validate on 141 samples
Epoch 1/4
562/562 [==============================] – ETA: 2:32 – loss: 9.6814 – acc: 0.0000e+0 – ETA: 56s – loss: 5.8770 – acc: 0.5000 – ETA: 36s – loss: 5.6866 – acc: 0.50 – ETA: 29s – loss: 5.2498 – acc: 0.57 – ETA: 24s – loss: 5.8741 – acc: 0.55 – ETA: 21s – loss: 5.5396 – acc: 0.59 – ETA: 19s – loss: 5.3083 – acc: 0.61 – ETA: 18s – loss: 4.6005 – acc: 0.66 – ETA: 17s – loss: 4.0670 – acc: 0.70 – ETA: 16s – loss: 4.0767 – acc: 0.71 – ETA: 15s – loss: 4.4653 – acc: 0.69 – ETA: 15s – loss: 4.6311 – acc: 0.68 – ETA: 14s – loss: 4.2452 – acc: 0.70 – ETA: 13s – loss: 4.2288 – acc: 0.71 – ETA: 13s – loss: 4.2181 – acc: 0.71 – ETA: 13s – loss: 3.9370 – acc: 0.73 – ETA: 12s – loss: 3.9428 – acc: 0.73 – ETA: 12s – loss: 3.7113 – acc: 0.75 – ETA: 12s – loss: 3.5078 – acc: 0.76 – ETA: 11s – loss: 3.3232 – acc: 0.77 – ETA: 11s – loss: 3.3585 – acc: 0.77 – ETA: 11s – loss: 3.3905 – acc: 0.77 – ETA: 11s – loss: 3.4195 – acc: 0.77 – ETA: 11s – loss: 3.2708 – acc: 0.78 – ETA: 10s – loss: 3.3025 – acc: 0.78 – ETA: 10s – loss: 3.1705 – acc: 0.79 – ETA: 10s – loss: 3.0500 – acc: 0.79 – ETA: 10s – loss: 3.0915 – acc: 0.79 – ETA: 9s – loss: 2.9814 – acc: 0.8036 – ETA: 9s – loss: 3.0176 – acc: 0.801 – ETA: 9s – loss: 3.0516 – acc: 0.800 – ETA: 9s – loss: 3.2144 – acc: 0.790 – ETA: 9s – loss: 3.4917 – acc: 0.773 – ETA: 9s – loss: 3.7522 – acc: 0.757 – ETA: 9s – loss: 3.8789 – acc: 0.750 – ETA: 8s – loss: 3.7699 – acc: 0.757 – ETA: 8s – loss: 3.7771 – acc: 0.756 – ETA: 8s – loss: 3.9206 – acc: 0.743 – ETA: 8s – loss: 3.8174 – acc: 0.750 – ETA: 8s – loss: 3.8228 – acc: 0.750 – ETA: 8s – loss: 3.8768 – acc: 0.743 – ETA: 8s – loss: 3.8805 – acc: 0.743 – ETA: 8s – loss: 3.7882 – acc: 0.750 – ETA: 7s – loss: 3.7938 – acc: 0.750 – ETA: 7s – loss: 3.7105 – acc: 0.755 – ETA: 7s – loss: 3.6281 – acc: 0.761 – ETA: 7s – loss: 3.7200 – acc: 0.755 – ETA: 7s – loss: 3.6410 – acc: 0.760 – ETA: 7s – loss: 3.6100 – acc: 0.760 – ETA: 7s – loss: 3.5424 – acc: 0.765 – ETA: 7s – loss: 3.5297 – acc: 0.760 – ETA: 7s – loss: 3.5124 – acc: 0.759 – ETA: 7s – loss: 3.5662 – acc: 0.754 – ETA: 6s – loss: 3.5415 – acc: 0.750 – ETA: 6s – loss: 3.6104 – acc: 0.740 – ETA: 6s – loss: 3.6593 – acc: 0.727 – ETA: 6s – loss: 3.6481 – acc: 0.723 – ETA: 6s – loss: 3.6239 – acc: 0.721 – ETA: 6s – loss: 3.6010 – acc: 0.717 – ETA: 6s – loss: 3.5538 – acc: 0.717 – ETA: 6s – loss: 3.5034 – acc: 0.722 – ETA: 6s – loss: 3.4732 – acc: 0.723 – ETA: 6s – loss: 3.4893 – acc: 0.723 – ETA: 6s – loss: 3.4443 – acc: 0.728 – ETA: 6s – loss: 3.4285 – acc: 0.728 – ETA: 5s – loss: 3.4479 – acc: 0.720 – ETA: 5s – loss: 3.3982 – acc: 0.725 – ETA: 5s – loss: 3.3805 – acc: 0.725 – ETA: 5s – loss: 3.3506 – acc: 0.722 – ETA: 5s – loss: 3.3170 – acc: 0.719 – ETA: 5s – loss: 3.2843 – acc: 0.712 – ETA: 5s – loss: 3.2638 – acc: 0.702 – ETA: 5s – loss: 3.2707 – acc: 0.695 – ETA: 5s – loss: 3.2426 – acc: 0.696 – ETA: 5s – loss: 3.2072 – acc: 0.700 – ETA: 5s – loss: 3.1873 – acc: 0.701 – ETA: 4s – loss: 3.1568 – acc: 0.705 – ETA: 4s – loss: 3.1262 – acc: 0.709 – ETA: 4s – loss: 3.1028 – acc: 0.709 – ETA: 4s – loss: 3.0701 – acc: 0.713 – ETA: 4s – loss: 3.0346 – acc: 0.717 – ETA: 4s – loss: 3.0800 – acc: 0.714 – ETA: 4s – loss: 3.0509 – acc: 0.717 – ETA: 4s – loss: 3.0234 – acc: 0.721 – ETA: 4s – loss: 2.9896 – acc: 0.724 – ETA: 4s – loss: 2.9648 – acc: 0.727 – ETA: 4s – loss: 2.9384 – acc: 0.728 – ETA: 4s – loss: 2.9115 – acc: 0.731 – ETA: 3s – loss: 2.9604 – acc: 0.725 – ETA: 3s – loss: 3.0114 – acc: 0.717 – ETA: 3s – loss: 3.0036 – acc: 0.717 – ETA: 3s – loss: 2.9769 – acc: 0.721 – ETA: 3s – loss: 2.9522 – acc: 0.724 – ETA: 3s – loss: 2.9338 – acc: 0.721 – ETA: 3s – loss: 2.9141 – acc: 0.721 – ETA: 3s – loss: 2.9328 – acc: 0.722 – ETA: 3s – loss: 2.9162 – acc: 0.717 – ETA: 3s – loss: 2.9070 – acc: 0.712 – ETA: 3s – loss: 2.8902 – acc: 0.710 – ETA: 3s – loss: 2.8752 – acc: 0.705 – ETA: 3s – loss: 2.8588 – acc: 0.703 – ETA: 2s – loss: 2.8395 – acc: 0.706 – ETA: 2s – loss: 2.8198 – acc: 0.709 – ETA: 2s – loss: 2.8063 – acc: 0.707 – ETA: 2s – loss: 2.7913 – acc: 0.705 – ETA: 2s – loss: 2.7761 – acc: 0.701 – ETA: 2s – loss: 2.7611 – acc: 0.703 – ETA: 2s – loss: 2.7434 – acc: 0.704 – ETA: 2s – loss: 2.7327 – acc: 0.702 – ETA: 2s – loss: 2.7186 – acc: 0.700 – ETA: 2s – loss: 2.7251 – acc: 0.696 – ETA: 2s – loss: 2.7117 – acc: 0.696 – ETA: 2s – loss: 2.6949 – acc: 0.699 – ETA: 2s – loss: 2.6800 – acc: 0.700 – ETA: 1s – loss: 2.6673 – acc: 0.700 – ETA: 1s – loss: 2.6534 – acc: 0.700 – ETA: 1s – loss: 2.6386 – acc: 0.703 – ETA: 1s – loss: 2.6257 – acc: 0.703 – ETA: 1s – loss: 2.6143 – acc: 0.700 – ETA: 1s – loss: 2.6030 – acc: 0.698 – ETA: 1s – loss: 2.5905 – acc: 0.698 – ETA: 1s – loss: 2.5780 – acc: 0.699 – ETA: 1s – loss: 2.5943 – acc: 0.699 – ETA: 1s – loss: 2.5814 – acc: 0.700 – ETA: 1s – loss: 2.5688 – acc: 0.698 – ETA: 1s – loss: 2.5562 – acc: 0.700 – ETA: 1s – loss: 2.5446 – acc: 0.699 – ETA: 1s – loss: 2.5305 – acc: 0.699 – ETA: 0s – loss: 2.5184 – acc: 0.700 – ETA: 0s – loss: 2.5344 – acc: 0.700 – ETA: 0s – loss: 2.5182 – acc: 0.702 – ETA: 0s – loss: 2.5005 – acc: 0.705 – ETA: 0s – loss: 2.4847 – acc: 0.707 – ETA: 0s – loss: 2.4983 – acc: 0.707 – ETA: 0s – loss: 2.4986 – acc: 0.707 – ETA: 0s – loss: 2.4805 – acc: 0.710 – ETA: 0s – loss: 2.4638 – acc: 0.712 – ETA: 0s – loss: 2.4910 – acc: 0.708 – ETA: 0s – loss: 2.4744 – acc: 0.710 – ETA: 0s – loss: 2.4896 – acc: 0.709 – ETA: 0s – loss: 2.5105 – acc: 0.707 – 11s 19ms/step – loss: 2.4981 – acc: 0.7082 – val_loss: 1.5523 – val_acc: 0.6454
Epoch 2/4
562/562 [==============================] – ETA: 9s – loss: 11.3185 – acc: 0.0000e+ – ETA: 9s – loss: 4.5634 – acc: 0.3333 – ETA: 9s – loss: 3.2655 – acc: 0.500 – ETA: 9s – loss: 2.4976 – acc: 0.642 – ETA: 9s – loss: 2.1257 – acc: 0.666 – ETA: 9s – loss: 2.2195 – acc: 0.681 – ETA: 9s – loss: 2.0192 – acc: 0.692 – ETA: 9s – loss: 1.8216 – acc: 0.733 – ETA: 8s – loss: 1.6768 – acc: 0.764 – ETA: 8s – loss: 1.5366 – acc: 0.789 – ETA: 8s – loss: 1.6417 – acc: 0.785 – ETA: 8s – loss: 1.5642 – acc: 0.804 – ETA: 8s – loss: 1.5194 – acc: 0.800 – ETA: 8s – loss: 1.4749 – acc: 0.796 – ETA: 8s – loss: 1.4467 – acc: 0.775 – ETA: 8s – loss: 1.6647 – acc: 0.758 – ETA: 8s – loss: 1.6027 – acc: 0.772 – ETA: 8s – loss: 1.5949 – acc: 0.750 – ETA: 8s – loss: 1.5536 – acc: 0.750 – ETA: 8s – loss: 1.6144 – acc: 0.750 – ETA: 8s – loss: 1.5996 – acc: 0.750 – ETA: 8s – loss: 1.5541 – acc: 0.761 – ETA: 8s – loss: 1.5147 – acc: 0.772 – ETA: 8s – loss: 1.4744 – acc: 0.782 – ETA: 8s – loss: 1.4408 – acc: 0.770 – ETA: 8s – loss: 1.4309 – acc: 0.770 – ETA: 7s – loss: 1.4104 – acc: 0.769 – ETA: 7s – loss: 1.3832 – acc: 0.777 – ETA: 7s – loss: 1.3512 – acc: 0.776 – ETA: 7s – loss: 1.3204 – acc: 0.784 – ETA: 7s – loss: 1.3182 – acc: 0.779 – ETA: 7s – loss: 1.3132 – acc: 0.775 – ETA: 7s – loss: 1.2951 – acc: 0.778 – ETA: 7s – loss: 1.3058 – acc: 0.769 – ETA: 7s – loss: 1.3013 – acc: 0.769 – ETA: 7s – loss: 1.3233 – acc: 0.761 – ETA: 7s – loss: 1.2974 – acc: 0.768 – ETA: 7s – loss: 1.2711 – acc: 0.774 – ETA: 7s – loss: 1.2460 – acc: 0.780 – ETA: 7s – loss: 1.2246 – acc: 0.786 – ETA: 7s – loss: 1.2590 – acc: 0.779 – ETA: 7s – loss: 1.2539 – acc: 0.775 – ETA: 7s – loss: 1.3348 – acc: 0.768 – ETA: 7s – loss: 1.4163 – acc: 0.762 – ETA: 7s – loss: 1.4256 – acc: 0.750 – ETA: 7s – loss: 1.3974 – acc: 0.755 – ETA: 6s – loss: 1.3701 – acc: 0.761 – ETA: 6s – loss: 1.3547 – acc: 0.761 – ETA: 6s – loss: 1.3413 – acc: 0.760 – ETA: 6s – loss: 1.3193 – acc: 0.766 – ETA: 6s – loss: 1.3208 – acc: 0.765 – ETA: 6s – loss: 1.3286 – acc: 0.762 – ETA: 6s – loss: 1.3130 – acc: 0.762 – ETA: 6s – loss: 1.3463 – acc: 0.757 – ETA: 6s – loss: 1.3259 – acc: 0.762 – ETA: 6s – loss: 1.3131 – acc: 0.761 – ETA: 6s – loss: 1.3285 – acc: 0.752 – ETA: 6s – loss: 1.3208 – acc: 0.752 – ETA: 6s – loss: 1.3041 – acc: 0.756 – ETA: 6s – loss: 1.2915 – acc: 0.756 – ETA: 6s – loss: 1.2781 – acc: 0.760 – ETA: 5s – loss: 1.2703 – acc: 0.760 – ETA: 5s – loss: 1.2669 – acc: 0.756 – ETA: 5s – loss: 1.2584 – acc: 0.756 – ETA: 5s – loss: 1.3083 – acc: 0.756 – ETA: 5s – loss: 1.3029 – acc: 0.756 – ETA: 5s – loss: 1.2909 – acc: 0.755 – ETA: 5s – loss: 1.2770 – acc: 0.759 – ETA: 5s – loss: 1.2632 – acc: 0.763 – ETA: 5s – loss: 1.2649 – acc: 0.759 – ETA: 5s – loss: 1.2777 – acc: 0.755 – ETA: 5s – loss: 1.2647 – acc: 0.759 – ETA: 5s – loss: 1.2508 – acc: 0.762 – ETA: 4s – loss: 1.2552 – acc: 0.762 – ETA: 4s – loss: 1.2469 – acc: 0.762 – ETA: 4s – loss: 1.2445 – acc: 0.762 – ETA: 4s – loss: 1.2355 – acc: 0.761 – ETA: 4s – loss: 1.2478 – acc: 0.758 – ETA: 4s – loss: 1.2413 – acc: 0.758 – ETA: 4s – loss: 1.2394 – acc: 0.754 – ETA: 4s – loss: 1.2267 – acc: 0.758 – ETA: 4s – loss: 1.2198 – acc: 0.758 – ETA: 4s – loss: 1.2163 – acc: 0.754 – ETA: 4s – loss: 1.2130 – acc: 0.751 – ETA: 4s – loss: 1.2029 – acc: 0.754 – ETA: 4s – loss: 1.1940 – acc: 0.754 – ETA: 3s – loss: 1.1849 – acc: 0.754 – ETA: 3s – loss: 1.1781 – acc: 0.754 – ETA: 3s – loss: 1.1665 – acc: 0.757 – ETA: 3s – loss: 1.1603 – acc: 0.757 – ETA: 3s – loss: 1.1957 – acc: 0.757 – ETA: 3s – loss: 1.1870 – acc: 0.757 – ETA: 3s – loss: 1.1748 – acc: 0.759 – ETA: 3s – loss: 1.2091 – acc: 0.754 – ETA: 3s – loss: 1.2042 – acc: 0.755 – ETA: 3s – loss: 1.2182 – acc: 0.752 – ETA: 3s – loss: 1.2141 – acc: 0.752 – ETA: 3s – loss: 1.2128 – acc: 0.750 – ETA: 3s – loss: 1.2043 – acc: 0.752 – ETA: 3s – loss: 1.1990 – acc: 0.752 – ETA: 2s – loss: 1.1900 – acc: 0.755 – ETA: 2s – loss: 1.1848 – acc: 0.755 – ETA: 2s – loss: 1.1869 – acc: 0.752 – ETA: 2s – loss: 1.1791 – acc: 0.755 – ETA: 2s – loss: 1.1783 – acc: 0.752 – ETA: 2s – loss: 1.1702 – acc: 0.754 – ETA: 2s – loss: 1.1649 – acc: 0.754 – ETA: 2s – loss: 1.1583 – acc: 0.757 – ETA: 2s – loss: 1.1484 – acc: 0.758 – ETA: 2s – loss: 1.1464 – acc: 0.755 – ETA: 2s – loss: 1.1393 – acc: 0.754 – ETA: 2s – loss: 1.1346 – acc: 0.754 – ETA: 2s – loss: 1.1303 – acc: 0.754 – ETA: 1s – loss: 1.1736 – acc: 0.750 – ETA: 1s – loss: 1.1738 – acc: 0.747 – ETA: 1s – loss: 1.1673 – acc: 0.750 – ETA: 1s – loss: 1.1620 – acc: 0.752 – ETA: 1s – loss: 1.1659 – acc: 0.750 – ETA: 1s – loss: 1.1644 – acc: 0.750 – ETA: 1s – loss: 1.1914 – acc: 0.750 – ETA: 1s – loss: 1.1956 – acc: 0.747 – ETA: 1s – loss: 1.1907 – acc: 0.747 – ETA: 1s – loss: 1.1884 – acc: 0.745 – ETA: 1s – loss: 1.2000 – acc: 0.743 – ETA: 1s – loss: 1.2036 – acc: 0.743 – ETA: 1s – loss: 1.2032 – acc: 0.743 – ETA: 1s – loss: 1.2082 – acc: 0.741 – ETA: 1s – loss: 1.2135 – acc: 0.740 – ETA: 0s – loss: 1.2077 – acc: 0.742 – ETA: 0s – loss: 1.2046 – acc: 0.742 – ETA: 0s – loss: 1.2036 – acc: 0.740 – ETA: 0s – loss: 1.1993 – acc: 0.738 – ETA: 0s – loss: 1.1932 – acc: 0.740 – ETA: 0s – loss: 1.1895 – acc: 0.738 – ETA: 0s – loss: 1.1858 – acc: 0.738 – ETA: 0s – loss: 1.1812 – acc: 0.738 – ETA: 0s – loss: 1.2040 – acc: 0.738 – ETA: 0s – loss: 1.1960 – acc: 0.740 – ETA: 0s – loss: 1.2123 – acc: 0.736 – ETA: 0s – loss: 1.2627 – acc: 0.730 – ETA: 0s – loss: 1.2569 – acc: 0.732 – ETA: 0s – loss: 1.2524 – acc: 0.733 – 10s 17ms/step – loss: 1.2475 – acc: 0.7331 – val_loss: 0.9580 – val_acc: 0.6809
Epoch 3/4
562/562 [==============================] – ETA: 7s – loss: 0.2886 – acc: 1.000 – ETA: 7s – loss: 0.3788 – acc: 0.875 – ETA: 7s – loss: 0.2987 – acc: 0.916 – ETA: 7s – loss: 0.2485 – acc: 0.937 – ETA: 7s – loss: 0.4501 – acc: 0.900 – ETA: 7s – loss: 1.2387 – acc: 0.791 – ETA: 7s – loss: 1.0772 – acc: 0.821 – ETA: 7s – loss: 1.0236 – acc: 0.812 – ETA: 7s – loss: 0.9933 – acc: 0.805 – ETA: 7s – loss: 1.0139 – acc: 0.800 – ETA: 7s – loss: 1.0192 – acc: 0.772 – ETA: 6s – loss: 0.9443 – acc: 0.791 – ETA: 6s – loss: 1.0972 – acc: 0.788 – ETA: 6s – loss: 1.1804 – acc: 0.750 – ETA: 6s – loss: 1.1635 – acc: 0.750 – ETA: 6s – loss: 1.1014 – acc: 0.765 – ETA: 6s – loss: 1.1269 – acc: 0.750 – ETA: 6s – loss: 1.1237 – acc: 0.750 – ETA: 6s – loss: 1.1291 – acc: 0.736 – ETA: 6s – loss: 1.1232 – acc: 0.725 – ETA: 6s – loss: 1.1229 – acc: 0.702 – ETA: 6s – loss: 1.0972 – acc: 0.704 – ETA: 6s – loss: 1.0993 – acc: 0.695 – ETA: 6s – loss: 1.0817 – acc: 0.697 – ETA: 6s – loss: 1.0487 – acc: 0.710 – ETA: 6s – loss: 1.0389 – acc: 0.711 – ETA: 6s – loss: 1.0368 – acc: 0.703 – ETA: 6s – loss: 1.0075 – acc: 0.714 – ETA: 6s – loss: 1.0050 – acc: 0.715 – ETA: 6s – loss: 0.9883 – acc: 0.716 – ETA: 6s – loss: 1.0016 – acc: 0.701 – ETA: 6s – loss: 0.9742 – acc: 0.710 – ETA: 6s – loss: 0.9640 – acc: 0.712 – ETA: 5s – loss: 0.9519 – acc: 0.713 – ETA: 5s – loss: 0.9481 – acc: 0.714 – ETA: 5s – loss: 0.9643 – acc: 0.708 – ETA: 5s – loss: 0.9763 – acc: 0.702 – ETA: 5s – loss: 0.9811 – acc: 0.697 – ETA: 5s – loss: 0.9943 – acc: 0.698 – ETA: 5s – loss: 1.0165 – acc: 0.691 – ETA: 5s – loss: 0.9980 – acc: 0.698 – ETA: 5s – loss: 0.9895 – acc: 0.700 – ETA: 5s – loss: 0.9811 – acc: 0.701 – ETA: 5s – loss: 0.9751 – acc: 0.702 – ETA: 5s – loss: 0.9607 – acc: 0.708 – ETA: 5s – loss: 0.9605 – acc: 0.709 – ETA: 5s – loss: 0.9480 – acc: 0.715 – ETA: 5s – loss: 0.9735 – acc: 0.709 – ETA: 5s – loss: 0.9597 – acc: 0.715 – ETA: 4s – loss: 0.9581 – acc: 0.715 – ETA: 4s – loss: 0.9504 – acc: 0.716 – ETA: 4s – loss: 0.9441 – acc: 0.719 – ETA: 4s – loss: 0.9352 – acc: 0.724 – ETA: 4s – loss: 0.9267 – acc: 0.724 – ETA: 4s – loss: 0.9153 – acc: 0.729 – ETA: 4s – loss: 0.9085 – acc: 0.730 – ETA: 4s – loss: 0.9093 – acc: 0.726 – ETA: 4s – loss: 0.8968 – acc: 0.730 – ETA: 4s – loss: 0.8858 – acc: 0.735 – ETA: 4s – loss: 0.8814 – acc: 0.735 – ETA: 4s – loss: 0.8790 – acc: 0.735 – ETA: 4s – loss: 0.8883 – acc: 0.732 – ETA: 4s – loss: 0.8785 – acc: 0.736 – ETA: 4s – loss: 0.8728 – acc: 0.738 – ETA: 4s – loss: 0.8958 – acc: 0.734 – ETA: 4s – loss: 0.8991 – acc: 0.734 – ETA: 4s – loss: 0.8881 – acc: 0.738 – ETA: 4s – loss: 0.9421 – acc: 0.735 – ETA: 4s – loss: 0.9457 – acc: 0.735 – ETA: 4s – loss: 0.9503 – acc: 0.732 – ETA: 4s – loss: 0.9646 – acc: 0.725 – ETA: 4s – loss: 0.9616 – acc: 0.725 – ETA: 4s – loss: 0.9743 – acc: 0.722 – ETA: 3s – loss: 0.9832 – acc: 0.719 – ETA: 3s – loss: 0.9730 – acc: 0.723 – ETA: 3s – loss: 0.9775 – acc: 0.720 – ETA: 3s – loss: 0.9721 – acc: 0.720 – ETA: 3s – loss: 0.9635 – acc: 0.724 – ETA: 3s – loss: 0.9545 – acc: 0.727 – ETA: 3s – loss: 0.9448 – acc: 0.731 – ETA: 3s – loss: 0.9366 – acc: 0.734 – ETA: 3s – loss: 0.9841 – acc: 0.731 – ETA: 3s – loss: 0.9770 – acc: 0.734 – ETA: 3s – loss: 0.9679 – acc: 0.738 – ETA: 3s – loss: 0.9597 – acc: 0.741 – ETA: 3s – loss: 0.9583 – acc: 0.741 – ETA: 3s – loss: 0.9594 – acc: 0.738 – ETA: 3s – loss: 0.9513 – acc: 0.741 – ETA: 3s – loss: 0.9439 – acc: 0.744 – ETA: 3s – loss: 0.9385 – acc: 0.744 – ETA: 2s – loss: 0.9314 – acc: 0.747 – ETA: 2s – loss: 0.9270 – acc: 0.747 – ETA: 2s – loss: 0.9269 – acc: 0.747 – ETA: 2s – loss: 0.9297 – acc: 0.744 – ETA: 2s – loss: 0.9351 – acc: 0.739 – ETA: 2s – loss: 0.9323 – acc: 0.739 – ETA: 2s – loss: 0.9245 – acc: 0.742 – ETA: 2s – loss: 0.9169 – acc: 0.744 – ETA: 2s – loss: 0.9092 – acc: 0.747 – ETA: 2s – loss: 0.9072 – acc: 0.747 – ETA: 2s – loss: 0.8998 – acc: 0.750 – ETA: 2s – loss: 0.8929 – acc: 0.752 – ETA: 2s – loss: 0.9072 – acc: 0.747 – ETA: 2s – loss: 0.9099 – acc: 0.747 – ETA: 2s – loss: 0.9031 – acc: 0.750 – ETA: 2s – loss: 0.9046 – acc: 0.747 – ETA: 2s – loss: 0.9050 – acc: 0.745 – ETA: 1s – loss: 0.9016 – acc: 0.745 – ETA: 1s – loss: 0.8999 – acc: 0.745 – ETA: 1s – loss: 0.9003 – acc: 0.743 – ETA: 1s – loss: 0.8935 – acc: 0.745 – ETA: 1s – loss: 0.8917 – acc: 0.743 – ETA: 1s – loss: 0.8878 – acc: 0.743 – ETA: 1s – loss: 0.8863 – acc: 0.743 – ETA: 1s – loss: 0.8838 – acc: 0.743 – ETA: 1s – loss: 0.8883 – acc: 0.741 – ETA: 1s – loss: 0.8928 – acc: 0.737 – ETA: 1s – loss: 0.9020 – acc: 0.733 – ETA: 1s – loss: 0.8996 – acc: 0.733 – ETA: 1s – loss: 0.8982 – acc: 0.733 – ETA: 1s – loss: 0.8931 – acc: 0.735 – ETA: 1s – loss: 0.8884 – acc: 0.737 – ETA: 1s – loss: 0.8939 – acc: 0.733 – ETA: 0s – loss: 0.8914 – acc: 0.733 – ETA: 0s – loss: 0.8868 – acc: 0.736 – ETA: 0s – loss: 0.8983 – acc: 0.734 – ETA: 0s – loss: 0.9309 – acc: 0.730 – ETA: 0s – loss: 0.9411 – acc: 0.728 – ETA: 0s – loss: 0.9372 – acc: 0.728 – ETA: 0s – loss: 0.9326 – acc: 0.730 – ETA: 0s – loss: 0.9285 – acc: 0.732 – ETA: 0s – loss: 0.9259 – acc: 0.733 – ETA: 0s – loss: 0.9332 – acc: 0.729 – ETA: 0s – loss: 0.9290 – acc: 0.731 – ETA: 0s – loss: 0.9267 – acc: 0.731 – ETA: 0s – loss: 0.9460 – acc: 0.731 – ETA: 0s – loss: 0.9423 – acc: 0.731 – ETA: 0s – loss: 0.9412 – acc: 0.732 – ETA: 0s – loss: 0.9417 – acc: 0.733 – 9s 16ms/step – loss: 0.9421 – acc: 0.7331 – val_loss: 0.9344 – val_acc: 0.6879
Epoch 4/4
562/562 [==============================] – ETA: 7s – loss: 0.1571 – acc: 1.000 – ETA: 6s – loss: 0.5889 – acc: 0.750 – ETA: 7s – loss: 0.5334 – acc: 0.750 – ETA: 8s – loss: 0.4846 – acc: 0.812 – ETA: 8s – loss: 0.5166 – acc: 0.800 – ETA: 8s – loss: 0.4676 – acc: 0.833 – ETA: 8s – loss: 0.5691 – acc: 0.750 – ETA: 8s – loss: 0.5155 – acc: 0.781 – ETA: 7s – loss: 0.5721 – acc: 0.777 – ETA: 7s – loss: 0.5748 – acc: 0.775 – ETA: 7s – loss: 0.6467 – acc: 0.750 – ETA: 7s – loss: 0.6703 – acc: 0.750 – ETA: 7s – loss: 0.6371 – acc: 0.769 – ETA: 7s – loss: 0.6805 – acc: 0.750 – ETA: 7s – loss: 0.6496 – acc: 0.766 – ETA: 7s – loss: 0.6411 – acc: 0.765 – ETA: 7s – loss: 0.6578 – acc: 0.750 – ETA: 7s – loss: 0.6351 – acc: 0.763 – ETA: 6s – loss: 0.6313 – acc: 0.763 – ETA: 6s – loss: 0.6692 – acc: 0.750 – ETA: 6s – loss: 0.6764 – acc: 0.750 – ETA: 6s – loss: 0.6719 – acc: 0.750 – ETA: 6s – loss: 0.6826 – acc: 0.750 – ETA: 6s – loss: 0.6681 – acc: 0.760 – ETA: 6s – loss: 0.6636 – acc: 0.760 – ETA: 6s – loss: 0.6581 – acc: 0.759 – ETA: 6s – loss: 0.6442 – acc: 0.768 – ETA: 6s – loss: 0.6288 – acc: 0.776 – ETA: 6s – loss: 0.6260 – acc: 0.775 – ETA: 6s – loss: 0.6299 – acc: 0.766 – ETA: 6s – loss: 0.6303 – acc: 0.766 – ETA: 6s – loss: 0.6161 – acc: 0.773 – ETA: 6s – loss: 0.6206 – acc: 0.772 – ETA: 6s – loss: 0.6086 – acc: 0.775 – ETA: 5s – loss: 0.6199 – acc: 0.774 – ETA: 5s – loss: 0.6228 – acc: 0.774 – ETA: 5s – loss: 0.6115 – acc: 0.780 – ETA: 5s – loss: 0.6141 – acc: 0.772 – ETA: 5s – loss: 0.6332 – acc: 0.765 – ETA: 5s – loss: 0.6298 – acc: 0.765 – ETA: 5s – loss: 0.6265 – acc: 0.765 – ETA: 5s – loss: 0.6712 – acc: 0.752 – ETA: 5s – loss: 0.6769 – acc: 0.747 – ETA: 5s – loss: 0.6880 – acc: 0.741 – ETA: 5s – loss: 0.6962 – acc: 0.741 – ETA: 5s – loss: 0.6892 – acc: 0.741 – ETA: 5s – loss: 0.6985 – acc: 0.742 – ETA: 5s – loss: 0.6907 – acc: 0.747 – ETA: 5s – loss: 0.6993 – acc: 0.742 – ETA: 5s – loss: 0.7762 – acc: 0.737 – ETA: 5s – loss: 0.7800 – acc: 0.737 – ETA: 4s – loss: 0.7743 – acc: 0.738 – ETA: 4s – loss: 0.7642 – acc: 0.743 – ETA: 4s – loss: 0.7663 – acc: 0.743 – ETA: 4s – loss: 0.7553 – acc: 0.747 – ETA: 4s – loss: 0.7482 – acc: 0.752 – ETA: 4s – loss: 0.7395 – acc: 0.756 – ETA: 4s – loss: 0.7602 – acc: 0.747 – ETA: 4s – loss: 0.7569 – acc: 0.747 – ETA: 4s – loss: 0.7530 – acc: 0.747 – ETA: 4s – loss: 0.7553 – acc: 0.748 – ETA: 4s – loss: 0.7530 – acc: 0.748 – ETA: 4s – loss: 0.7457 – acc: 0.752 – ETA: 4s – loss: 0.7429 – acc: 0.751 – ETA: 4s – loss: 0.7522 – acc: 0.748 – ETA: 4s – loss: 0.7499 – acc: 0.748 – ETA: 4s – loss: 0.7411 – acc: 0.751 – ETA: 4s – loss: 0.8167 – acc: 0.744 – ETA: 3s – loss: 0.8074 – acc: 0.748 – ETA: 3s – loss: 0.8549 – acc: 0.748 – ETA: 3s – loss: 0.8461 – acc: 0.751 – ETA: 3s – loss: 0.8359 – acc: 0.755 – ETA: 3s – loss: 0.8322 – acc: 0.755 – ETA: 3s – loss: 0.8275 – acc: 0.755 – ETA: 3s – loss: 0.8575 – acc: 0.751 – ETA: 3s – loss: 0.8497 – acc: 0.754 – ETA: 3s – loss: 0.8473 – acc: 0.754 – ETA: 3s – loss: 0.8379 – acc: 0.758 – ETA: 3s – loss: 0.8390 – acc: 0.757 – ETA: 3s – loss: 0.8308 – acc: 0.760 – ETA: 3s – loss: 0.8365 – acc: 0.757 – ETA: 3s – loss: 0.8418 – acc: 0.757 – ETA: 3s – loss: 0.8432 – acc: 0.754 – ETA: 3s – loss: 0.8342 – acc: 0.757 – ETA: 3s – loss: 0.8280 – acc: 0.757 – ETA: 3s – loss: 0.8191 – acc: 0.760 – ETA: 2s – loss: 0.8106 – acc: 0.762 – ETA: 2s – loss: 0.8068 – acc: 0.762 – ETA: 2s – loss: 0.8051 – acc: 0.762 – ETA: 2s – loss: 0.7979 – acc: 0.765 – ETA: 2s – loss: 0.8014 – acc: 0.762 – ETA: 2s – loss: 0.8136 – acc: 0.762 – ETA: 2s – loss: 0.8295 – acc: 0.756 – ETA: 2s – loss: 0.8373 – acc: 0.754 – ETA: 2s – loss: 0.8375 – acc: 0.753 – ETA: 2s – loss: 0.8300 – acc: 0.756 – ETA: 2s – loss: 0.8266 – acc: 0.756 – ETA: 2s – loss: 0.8393 – acc: 0.753 – ETA: 2s – loss: 0.8448 – acc: 0.753 – ETA: 2s – loss: 0.8466 – acc: 0.753 – ETA: 2s – loss: 0.8539 – acc: 0.751 – ETA: 2s – loss: 0.8468 – acc: 0.753 – ETA: 2s – loss: 0.8544 – acc: 0.748 – ETA: 2s – loss: 0.8524 – acc: 0.748 – ETA: 1s – loss: 0.8531 – acc: 0.748 – ETA: 1s – loss: 0.8515 – acc: 0.748 – ETA: 1s – loss: 0.8523 – acc: 0.746 – ETA: 1s – loss: 0.8477 – acc: 0.748 – ETA: 1s – loss: 0.8500 – acc: 0.746 – ETA: 1s – loss: 0.8450 – acc: 0.748 – ETA: 1s – loss: 0.8413 – acc: 0.748 – ETA: 1s – loss: 0.8376 – acc: 0.751 – ETA: 1s – loss: 0.8415 – acc: 0.748 – ETA: 1s – loss: 0.8429 – acc: 0.746 – ETA: 1s – loss: 0.8380 – acc: 0.748 – ETA: 1s – loss: 0.8358 – acc: 0.748 – ETA: 1s – loss: 0.8330 – acc: 0.748 – ETA: 1s – loss: 0.8306 – acc: 0.748 – ETA: 1s – loss: 0.8268 – acc: 0.751 – ETA: 1s – loss: 0.8270 – acc: 0.749 – ETA: 1s – loss: 0.8235 – acc: 0.751 – ETA: 1s – loss: 0.8540 – acc: 0.749 – ETA: 0s – loss: 0.8626 – acc: 0.747 – ETA: 0s – loss: 0.8613 – acc: 0.747 – ETA: 0s – loss: 0.8705 – acc: 0.745 – ETA: 0s – loss: 0.8684 – acc: 0.745 – ETA: 0s – loss: 0.8630 – acc: 0.747 – ETA: 0s – loss: 0.8643 – acc: 0.745 – ETA: 0s – loss: 0.8642 – acc: 0.745 – ETA: 0s – loss: 0.8678 – acc: 0.743 – ETA: 0s – loss: 0.8650 – acc: 0.743 – ETA: 0s – loss: 0.8614 – acc: 0.743 – ETA: 0s – loss: 0.8636 – acc: 0.741 – ETA: 0s – loss: 0.8582 – acc: 0.743 – ETA: 0s – loss: 0.8600 – acc: 0.743 – ETA: 0s – loss: 0.8860 – acc: 0.741 – ETA: 0s – loss: 0.8854 – acc: 0.740 – ETA: 0s – loss: 0.8880 – acc: 0.738 – ETA: 0s – loss: 0.9115 – acc: 0.738 – 8s 15ms/step – loss: 0.9075 – acc: 0.7402 – val_loss: 1.0989 – val_acc: 0.6738
141/141 [==============================] – ETA: – ETA: – ETA: – ETA: – 1s 4ms/step
(562, 1612)
Train on 562 samples, validate on 141 samples
Epoch 1/4
562/562 [==============================] – ETA: 2:03 – loss: 5.2887 – acc: 0.0000e+0 – ETA: 45s – loss: 9.8220 – acc: 0.1667 – ETA: 30s – loss: 7.2087 – acc: 0.40 – ETA: 23s – loss: 8.6030 – acc: 0.35 – ETA: 20s – loss: 9.3775 – acc: 0.33 – ETA: 17s – loss: 8.4079 – acc: 0.40 – ETA: 16s – loss: 7.7344 – acc: 0.46 – ETA: 14s – loss: 7.7777 – acc: 0.46 – ETA: 14s – loss: 6.8686 – acc: 0.52 – ETA: 13s – loss: 6.5698 – acc: 0.55 – ETA: 12s – loss: 6.3496 – acc: 0.57 – ETA: 12s – loss: 6.3773 – acc: 0.56 – ETA: 11s – loss: 6.5119 – acc: 0.56 – ETA: 11s – loss: 6.5818 – acc: 0.55 – ETA: 10s – loss: 6.4058 – acc: 0.56 – ETA: 10s – loss: 5.9925 – acc: 0.59 – ETA: 10s – loss: 5.6294 – acc: 0.62 – ETA: 9s – loss: 5.5380 – acc: 0.6286 – ETA: 9s – loss: 5.4587 – acc: 0.635 – ETA: 9s – loss: 5.1827 – acc: 0.653 – ETA: 9s – loss: 5.1279 – acc: 0.658 – ETA: 9s – loss: 5.2642 – acc: 0.651 – ETA: 8s – loss: 5.5675 – acc: 0.633 – ETA: 8s – loss: 5.3785 – acc: 0.638 – ETA: 8s – loss: 5.4880 – acc: 0.632 – ETA: 8s – loss: 5.4308 – acc: 0.637 – ETA: 8s – loss: 5.3780 – acc: 0.641 – ETA: 8s – loss: 5.3289 – acc: 0.645 – ETA: 7s – loss: 5.1419 – acc: 0.657 – ETA: 7s – loss: 5.3774 – acc: 0.644 – ETA: 7s – loss: 5.3332 – acc: 0.647 – ETA: 7s – loss: 5.1650 – acc: 0.658 – ETA: 7s – loss: 5.1310 – acc: 0.661 – ETA: 7s – loss: 4.9778 – acc: 0.671 – ETA: 7s – loss: 4.8337 – acc: 0.681 – ETA: 7s – loss: 4.7454 – acc: 0.683 – ETA: 6s – loss: 4.8361 – acc: 0.678 – ETA: 6s – loss: 4.8147 – acc: 0.680 – ETA: 6s – loss: 4.7964 – acc: 0.681 – ETA: 6s – loss: 4.8229 – acc: 0.677 – ETA: 6s – loss: 4.8054 – acc: 0.679 – ETA: 6s – loss: 4.9841 – acc: 0.668 – ETA: 6s – loss: 5.0565 – acc: 0.664 – ETA: 6s – loss: 5.1928 – acc: 0.655 – ETA: 6s – loss: 5.1753 – acc: 0.651 – ETA: 6s – loss: 5.1664 – acc: 0.642 – ETA: 6s – loss: 5.2082 – acc: 0.629 – ETA: 5s – loss: 5.3323 – acc: 0.621 – ETA: 5s – loss: 5.4716 – acc: 0.613 – ETA: 5s – loss: 5.4425 – acc: 0.616 – ETA: 5s – loss: 5.4943 – acc: 0.613 – ETA: 5s – loss: 5.5447 – acc: 0.611 – ETA: 5s – loss: 5.5925 – acc: 0.609 – ETA: 5s – loss: 5.5667 – acc: 0.612 – ETA: 5s – loss: 5.5385 – acc: 0.614 – ETA: 5s – loss: 5.5113 – acc: 0.617 – ETA: 5s – loss: 5.5564 – acc: 0.615 – ETA: 5s – loss: 5.4597 – acc: 0.621 – ETA: 5s – loss: 5.5731 – acc: 0.615 – ETA: 5s – loss: 5.4794 – acc: 0.621 – ETA: 4s – loss: 5.4554 – acc: 0.624 – ETA: 4s – loss: 5.5633 – acc: 0.617 – ETA: 4s – loss: 5.5387 – acc: 0.620 – ETA: 4s – loss: 5.4515 – acc: 0.626 – ETA: 4s – loss: 5.4295 – acc: 0.627 – ETA: 4s – loss: 5.3466 – acc: 0.633 – ETA: 4s – loss: 5.2663 – acc: 0.639 – ETA: 4s – loss: 5.3077 – acc: 0.637 – ETA: 4s – loss: 5.2894 – acc: 0.638 – ETA: 4s – loss: 5.3293 – acc: 0.636 – ETA: 4s – loss: 5.3120 – acc: 0.638 – ETA: 4s – loss: 5.2377 – acc: 0.643 – ETA: 4s – loss: 5.2766 – acc: 0.641 – ETA: 4s – loss: 5.2048 – acc: 0.646 – ETA: 4s – loss: 5.2431 – acc: 0.644 – ETA: 3s – loss: 5.2271 – acc: 0.645 – ETA: 3s – loss: 5.2641 – acc: 0.643 – ETA: 3s – loss: 5.3001 – acc: 0.641 – ETA: 3s – loss: 5.2840 – acc: 0.643 – ETA: 3s – loss: 5.3189 – acc: 0.641 – ETA: 3s – loss: 5.3529 – acc: 0.639 – ETA: 3s – loss: 5.3863 – acc: 0.638 – ETA: 3s – loss: 5.3210 – acc: 0.642 – ETA: 3s – loss: 5.3538 – acc: 0.640 – ETA: 3s – loss: 5.2904 – acc: 0.645 – ETA: 3s – loss: 5.2285 – acc: 0.649 – ETA: 3s – loss: 5.2147 – acc: 0.650 – ETA: 3s – loss: 5.2472 – acc: 0.648 – ETA: 3s – loss: 5.1879 – acc: 0.652 – ETA: 3s – loss: 5.2200 – acc: 0.650 – ETA: 2s – loss: 5.2068 – acc: 0.651 – ETA: 2s – loss: 5.1940 – acc: 0.653 – ETA: 2s – loss: 5.1378 – acc: 0.656 – ETA: 2s – loss: 5.1691 – acc: 0.655 – ETA: 2s – loss: 5.1570 – acc: 0.656 – ETA: 2s – loss: 5.1452 – acc: 0.657 – ETA: 2s – loss: 5.0919 – acc: 0.660 – ETA: 2s – loss: 5.0810 – acc: 0.661 – ETA: 2s – loss: 5.0294 – acc: 0.665 – ETA: 2s – loss: 5.0194 – acc: 0.665 – ETA: 2s – loss: 4.9694 – acc: 0.669 – ETA: 2s – loss: 4.9205 – acc: 0.672 – ETA: 2s – loss: 4.9904 – acc: 0.668 – ETA: 2s – loss: 5.0201 – acc: 0.666 – ETA: 2s – loss: 4.9720 – acc: 0.669 – ETA: 2s – loss: 5.0013 – acc: 0.668 – ETA: 2s – loss: 5.0300 – acc: 0.666 – ETA: 1s – loss: 5.0207 – acc: 0.667 – ETA: 1s – loss: 5.0116 – acc: 0.668 – ETA: 1s – loss: 5.0027 – acc: 0.668 – ETA: 1s – loss: 4.9575 – acc: 0.671 – ETA: 1s – loss: 4.9853 – acc: 0.670 – ETA: 1s – loss: 4.9410 – acc: 0.673 – ETA: 1s – loss: 4.9329 – acc: 0.674 – ETA: 1s – loss: 4.8898 – acc: 0.676 – ETA: 1s – loss: 4.8475 – acc: 0.679 – ETA: 1s – loss: 4.8405 – acc: 0.680 – ETA: 1s – loss: 4.9022 – acc: 0.676 – ETA: 1s – loss: 4.8948 – acc: 0.677 – ETA: 1s – loss: 4.8539 – acc: 0.679 – ETA: 1s – loss: 4.8136 – acc: 0.682 – ETA: 1s – loss: 4.7740 – acc: 0.685 – ETA: 1s – loss: 4.8337 – acc: 0.681 – ETA: 0s – loss: 4.8598 – acc: 0.680 – ETA: 0s – loss: 4.8855 – acc: 0.678 – ETA: 0s – loss: 4.8787 – acc: 0.679 – ETA: 0s – loss: 4.8720 – acc: 0.679 – ETA: 0s – loss: 4.8970 – acc: 0.678 – ETA: 0s – loss: 4.8589 – acc: 0.680 – ETA: 0s – loss: 4.8525 – acc: 0.681 – ETA: 0s – loss: 4.8153 – acc: 0.683 – ETA: 0s – loss: 4.7787 – acc: 0.686 – ETA: 0s – loss: 4.8034 – acc: 0.684 – ETA: 0s – loss: 4.8580 – acc: 0.681 – ETA: 0s – loss: 4.8518 – acc: 0.682 – ETA: 0s – loss: 4.8458 – acc: 0.682 – ETA: 0s – loss: 4.8103 – acc: 0.685 – ETA: 0s – loss: 4.8046 – acc: 0.685 – ETA: 0s – loss: 4.7991 – acc: 0.685 – ETA: 0s – loss: 4.7647 – acc: 0.688 – 9s 16ms/step – loss: 4.7308 – acc: 0.6904 – val_loss: 3.3000 – val_acc: 0.7943
Epoch 2/4
562/562 [==============================] – ETA: 7s – loss: 8.0590 – acc: 0.500 – ETA: 7s – loss: 5.3735 – acc: 0.666 – ETA: 7s – loss: 3.2241 – acc: 0.800 – ETA: 7s – loss: 4.6055 – acc: 0.714 – ETA: 7s – loss: 4.4775 – acc: 0.722 – ETA: 7s – loss: 3.6637 – acc: 0.772 – ETA: 7s – loss: 3.7200 – acc: 0.769 – ETA: 7s – loss: 3.2240 – acc: 0.800 – ETA: 7s – loss: 3.3188 – acc: 0.794 – ETA: 7s – loss: 3.8178 – acc: 0.763 – ETA: 7s – loss: 3.4542 – acc: 0.785 – ETA: 7s – loss: 3.1538 – acc: 0.804 – ETA: 7s – loss: 3.5462 – acc: 0.780 – ETA: 7s – loss: 3.2836 – acc: 0.796 – ETA: 6s – loss: 3.3350 – acc: 0.793 – ETA: 6s – loss: 3.6398 – acc: 0.774 – ETA: 6s – loss: 3.4192 – acc: 0.787 – ETA: 6s – loss: 3.6843 – acc: 0.771 – ETA: 6s – loss: 3.7030 – acc: 0.770 – ETA: 6s – loss: 3.7199 – acc: 0.769 – ETA: 6s – loss: 3.5385 – acc: 0.780 – ETA: 6s – loss: 3.7487 – acc: 0.767 – ETA: 6s – loss: 3.7612 – acc: 0.766 – ETA: 6s – loss: 3.7726 – acc: 0.766 – ETA: 6s – loss: 3.7831 – acc: 0.765 – ETA: 6s – loss: 4.1088 – acc: 0.745 – ETA: 6s – loss: 4.1059 – acc: 0.745 – ETA: 6s – loss: 3.9566 – acc: 0.754 – ETA: 6s – loss: 4.1005 – acc: 0.745 – ETA: 6s – loss: 3.9615 – acc: 0.754 – ETA: 6s – loss: 3.8316 – acc: 0.762 – ETA: 6s – loss: 3.8379 – acc: 0.761 – ETA: 5s – loss: 3.8438 – acc: 0.761 – ETA: 5s – loss: 3.8494 – acc: 0.761 – ETA: 5s – loss: 3.7378 – acc: 0.768 – ETA: 5s – loss: 3.7460 – acc: 0.767 – ETA: 5s – loss: 3.8642 – acc: 0.760 – ETA: 5s – loss: 4.0835 – acc: 0.746 – ETA: 5s – loss: 3.9774 – acc: 0.753 – ETA: 5s – loss: 4.0807 – acc: 0.746 – ETA: 5s – loss: 4.1790 – acc: 0.740 – ETA: 5s – loss: 4.2728 – acc: 0.734 – ETA: 5s – loss: 4.3619 – acc: 0.729 – ETA: 5s – loss: 4.2616 – acc: 0.735 – ETA: 5s – loss: 4.1724 – acc: 0.741 – ETA: 5s – loss: 4.3464 – acc: 0.730 – ETA: 5s – loss: 4.3398 – acc: 0.731 – ETA: 5s – loss: 4.4181 – acc: 0.726 – ETA: 5s – loss: 4.5762 – acc: 0.716 – ETA: 5s – loss: 4.6466 – acc: 0.712 – ETA: 5s – loss: 4.7142 – acc: 0.707 – ETA: 4s – loss: 4.7009 – acc: 0.708 – ETA: 4s – loss: 4.6114 – acc: 0.714 – ETA: 4s – loss: 4.6005 – acc: 0.715 – ETA: 4s – loss: 4.5900 – acc: 0.715 – ETA: 4s – loss: 4.5799 – acc: 0.716 – ETA: 4s – loss: 4.4988 – acc: 0.721 – ETA: 4s – loss: 4.4907 – acc: 0.721 – ETA: 4s – loss: 4.4828 – acc: 0.722 – ETA: 4s – loss: 4.4752 – acc: 0.722 – ETA: 4s – loss: 4.4678 – acc: 0.723 – ETA: 4s – loss: 4.4607 – acc: 0.723 – ETA: 4s – loss: 4.3899 – acc: 0.728 – ETA: 4s – loss: 4.4477 – acc: 0.724 – ETA: 4s – loss: 4.5661 – acc: 0.717 – ETA: 4s – loss: 4.5888 – acc: 0.713 – ETA: 4s – loss: 4.5198 – acc: 0.718 – ETA: 4s – loss: 4.5722 – acc: 0.714 – ETA: 4s – loss: 4.6231 – acc: 0.711 – ETA: 3s – loss: 4.6146 – acc: 0.712 – ETA: 3s – loss: 4.6063 – acc: 0.712 – ETA: 3s – loss: 4.5982 – acc: 0.713 – ETA: 3s – loss: 4.5903 – acc: 0.713 – ETA: 3s – loss: 4.5827 – acc: 0.714 – ETA: 3s – loss: 4.6294 – acc: 0.711 – ETA: 3s – loss: 4.6214 – acc: 0.711 – ETA: 3s – loss: 4.6137 – acc: 0.712 – ETA: 3s – loss: 4.6062 – acc: 0.712 – ETA: 3s – loss: 4.5988 – acc: 0.713 – ETA: 3s – loss: 4.6930 – acc: 0.707 – ETA: 3s – loss: 4.6848 – acc: 0.708 – ETA: 3s – loss: 4.6767 – acc: 0.708 – ETA: 3s – loss: 4.7177 – acc: 0.706 – ETA: 3s – loss: 4.7095 – acc: 0.706 – ETA: 3s – loss: 4.7015 – acc: 0.707 – ETA: 3s – loss: 4.7408 – acc: 0.704 – ETA: 3s – loss: 4.6860 – acc: 0.708 – ETA: 2s – loss: 4.6324 – acc: 0.711 – ETA: 2s – loss: 4.6711 – acc: 0.709 – ETA: 2s – loss: 4.6189 – acc: 0.712 – ETA: 2s – loss: 4.6125 – acc: 0.712 – ETA: 2s – loss: 4.6061 – acc: 0.713 – ETA: 2s – loss: 4.6870 – acc: 0.708 – ETA: 2s – loss: 4.6369 – acc: 0.711 – ETA: 2s – loss: 4.6305 – acc: 0.711 – ETA: 2s – loss: 4.6664 – acc: 0.709 – ETA: 2s – loss: 4.7015 – acc: 0.707 – ETA: 2s – loss: 4.6947 – acc: 0.707 – ETA: 2s – loss: 4.6879 – acc: 0.708 – ETA: 2s – loss: 4.6408 – acc: 0.711 – ETA: 2s – loss: 4.6748 – acc: 0.709 – ETA: 2s – loss: 4.7082 – acc: 0.706 – ETA: 2s – loss: 4.7015 – acc: 0.707 – ETA: 2s – loss: 4.7340 – acc: 0.705 – ETA: 2s – loss: 4.6887 – acc: 0.708 – ETA: 1s – loss: 4.6824 – acc: 0.708 – ETA: 1s – loss: 4.7040 – acc: 0.706 – ETA: 1s – loss: 4.6603 – acc: 0.709 – ETA: 1s – loss: 4.6173 – acc: 0.712 – ETA: 1s – loss: 4.6120 – acc: 0.712 – ETA: 1s – loss: 4.6432 – acc: 0.710 – ETA: 1s – loss: 4.6377 – acc: 0.710 – ETA: 1s – loss: 4.6323 – acc: 0.711 – ETA: 1s – loss: 4.5914 – acc: 0.713 – ETA: 1s – loss: 4.6217 – acc: 0.711 – ETA: 1s – loss: 4.6166 – acc: 0.712 – ETA: 1s – loss: 4.6116 – acc: 0.712 – ETA: 1s – loss: 4.6410 – acc: 0.710 – ETA: 1s – loss: 4.6840 – acc: 0.708 – ETA: 1s – loss: 4.6450 – acc: 0.710 – ETA: 1s – loss: 4.6399 – acc: 0.710 – ETA: 1s – loss: 4.6349 – acc: 0.711 – ETA: 0s – loss: 4.5972 – acc: 0.713 – ETA: 0s – loss: 4.6252 – acc: 0.711 – ETA: 0s – loss: 4.6347 – acc: 0.711 – ETA: 0s – loss: 4.6618 – acc: 0.709 – ETA: 0s – loss: 4.6252 – acc: 0.711 – ETA: 0s – loss: 4.6657 – acc: 0.709 – ETA: 0s – loss: 4.6684 – acc: 0.707 – ETA: 0s – loss: 4.6635 – acc: 0.708 – ETA: 0s – loss: 4.6892 – acc: 0.706 – ETA: 0s – loss: 4.7448 – acc: 0.703 – ETA: 0s – loss: 4.7698 – acc: 0.701 – ETA: 0s – loss: 4.7345 – acc: 0.703 – ETA: 0s – loss: 4.7590 – acc: 0.702 – ETA: 0s – loss: 4.7831 – acc: 0.700 – ETA: 0s – loss: 4.7777 – acc: 0.701 – ETA: 0s – loss: 4.7724 – acc: 0.701 – ETA: 0s – loss: 4.7383 – acc: 0.703 – 8s 15ms/step – loss: 4.7214 – acc: 0.7046 – val_loss: 3.2229 – val_acc: 0.7943
Epoch 3/4
562/562 [==============================] – ETA: 7s – loss: 1.1921e-07 – acc: 1.000 – ETA: 7s – loss: 5.3727 – acc: 0.6667 – ETA: 8s – loss: 9.6709 – acc: 0.400 – ETA: 8s – loss: 9.0021 – acc: 0.428 – ETA: 8s – loss: 8.7925 – acc: 0.444 – ETA: 8s – loss: 8.6595 – acc: 0.454 – ETA: 8s – loss: 7.9472 – acc: 0.500 – ETA: 7s – loss: 7.4249 – acc: 0.533 – ETA: 7s – loss: 6.5514 – acc: 0.588 – ETA: 7s – loss: 6.2859 – acc: 0.605 – ETA: 7s – loss: 6.0710 – acc: 0.619 – ETA: 7s – loss: 6.2439 – acc: 0.608 – ETA: 7s – loss: 6.7115 – acc: 0.580 – ETA: 7s – loss: 6.5128 – acc: 0.592 – ETA: 6s – loss: 6.3416 – acc: 0.603 – ETA: 7s – loss: 6.1766 – acc: 0.612 – ETA: 7s – loss: 5.8022 – acc: 0.636 – ETA: 7s – loss: 6.1615 – acc: 0.614 – ETA: 6s – loss: 5.8285 – acc: 0.635 – ETA: 6s – loss: 5.7376 – acc: 0.641 – ETA: 6s – loss: 5.7933 – acc: 0.634 – ETA: 6s – loss: 5.5516 – acc: 0.639 – ETA: 6s – loss: 5.4839 – acc: 0.644 – ETA: 6s – loss: 5.2555 – acc: 0.659 – ETA: 6s – loss: 5.5344 – acc: 0.642 – ETA: 6s – loss: 5.5251 – acc: 0.644 – ETA: 6s – loss: 5.3234 – acc: 0.657 – ETA: 6s – loss: 5.1384 – acc: 0.669 – ETA: 6s – loss: 5.1061 – acc: 0.672 – ETA: 6s – loss: 5.0702 – acc: 0.675 – ETA: 6s – loss: 5.1666 – acc: 0.669 – ETA: 6s – loss: 5.1311 – acc: 0.671 – ETA: 5s – loss: 5.1930 – acc: 0.666 – ETA: 5s – loss: 5.0402 – acc: 0.676 – ETA: 5s – loss: 5.1266 – acc: 0.671 – ETA: 5s – loss: 5.2086 – acc: 0.666 – ETA: 5s – loss: 5.0724 – acc: 0.675 – ETA: 5s – loss: 4.9433 – acc: 0.684 – ETA: 5s – loss: 4.8165 – acc: 0.692 – ETA: 5s – loss: 4.9055 – acc: 0.687 – ETA: 5s – loss: 4.9825 – acc: 0.682 – ETA: 5s – loss: 4.8641 – acc: 0.690 – ETA: 5s – loss: 4.9384 – acc: 0.686 – ETA: 5s – loss: 4.8262 – acc: 0.693 – ETA: 5s – loss: 4.8989 – acc: 0.688 – ETA: 5s – loss: 4.9784 – acc: 0.679 – ETA: 5s – loss: 4.8794 – acc: 0.686 – ETA: 5s – loss: 4.8944 – acc: 0.682 – ETA: 5s – loss: 4.9590 – acc: 0.678 – ETA: 4s – loss: 4.9443 – acc: 0.680 – ETA: 4s – loss: 4.8473 – acc: 0.686 – ETA: 4s – loss: 4.8317 – acc: 0.687 – ETA: 4s – loss: 4.8218 – acc: 0.688 – ETA: 4s – loss: 4.8111 – acc: 0.689 – ETA: 4s – loss: 4.7979 – acc: 0.690 – ETA: 4s – loss: 4.7889 – acc: 0.692 – ETA: 4s – loss: 4.7756 – acc: 0.693 – ETA: 4s – loss: 4.7252 – acc: 0.696 – ETA: 4s – loss: 4.7166 – acc: 0.697 – ETA: 4s – loss: 4.7089 – acc: 0.698 – ETA: 4s – loss: 4.6983 – acc: 0.699 – ETA: 4s – loss: 4.8166 – acc: 0.692 – ETA: 4s – loss: 4.7440 – acc: 0.696 – ETA: 4s – loss: 4.6875 – acc: 0.697 – ETA: 4s – loss: 4.6788 – acc: 0.698 – ETA: 4s – loss: 4.6715 – acc: 0.699 – ETA: 3s – loss: 4.6627 – acc: 0.700 – ETA: 3s – loss: 4.7128 – acc: 0.697 – ETA: 3s – loss: 4.7347 – acc: 0.694 – ETA: 3s – loss: 4.6683 – acc: 0.698 – ETA: 3s – loss: 4.7036 – acc: 0.695 – ETA: 3s – loss: 4.6470 – acc: 0.696 – ETA: 3s – loss: 4.6656 – acc: 0.693 – ETA: 3s – loss: 4.6632 – acc: 0.691 – ETA: 3s – loss: 4.6065 – acc: 0.695 – ETA: 3s – loss: 4.6015 – acc: 0.696 – ETA: 3s – loss: 4.5479 – acc: 0.700 – ETA: 3s – loss: 4.5414 – acc: 0.700 – ETA: 3s – loss: 4.4849 – acc: 0.704 – ETA: 3s – loss: 4.4793 – acc: 0.705 – ETA: 3s – loss: 4.4762 – acc: 0.705 – ETA: 3s – loss: 4.4862 – acc: 0.703 – ETA: 3s – loss: 4.4372 – acc: 0.706 – ETA: 3s – loss: 4.4014 – acc: 0.707 – ETA: 3s – loss: 4.3540 – acc: 0.710 – ETA: 2s – loss: 4.3304 – acc: 0.711 – ETA: 2s – loss: 4.2906 – acc: 0.711 – ETA: 2s – loss: 4.2647 – acc: 0.709 – ETA: 2s – loss: 4.2649 – acc: 0.706 – ETA: 2s – loss: 4.2206 – acc: 0.707 – ETA: 2s – loss: 4.2269 – acc: 0.699 – ETA: 2s – loss: 4.2737 – acc: 0.694 – ETA: 2s – loss: 4.2351 – acc: 0.695 – ETA: 2s – loss: 4.2133 – acc: 0.687 – ETA: 2s – loss: 4.2256 – acc: 0.680 – ETA: 2s – loss: 4.2471 – acc: 0.676 – ETA: 2s – loss: 4.2082 – acc: 0.679 – ETA: 2s – loss: 4.2121 – acc: 0.677 – ETA: 2s – loss: 4.1802 – acc: 0.678 – ETA: 2s – loss: 4.1612 – acc: 0.676 – ETA: 2s – loss: 4.1239 – acc: 0.679 – ETA: 2s – loss: 4.1343 – acc: 0.678 – ETA: 2s – loss: 4.0966 – acc: 0.681 – ETA: 2s – loss: 4.0736 – acc: 0.677 – ETA: 1s – loss: 4.0393 – acc: 0.680 – ETA: 1s – loss: 4.0454 – acc: 0.678 – ETA: 1s – loss: 4.0383 – acc: 0.679 – ETA: 1s – loss: 4.0432 – acc: 0.679 – ETA: 1s – loss: 4.0485 – acc: 0.678 – ETA: 1s – loss: 4.0181 – acc: 0.678 – ETA: 1s – loss: 3.9909 – acc: 0.677 – ETA: 1s – loss: 3.9641 – acc: 0.673 – ETA: 1s – loss: 3.9354 – acc: 0.671 – ETA: 1s – loss: 3.9035 – acc: 0.672 – ETA: 1s – loss: 3.8802 – acc: 0.671 – ETA: 1s – loss: 3.8573 – acc: 0.665 – ETA: 1s – loss: 3.8333 – acc: 0.663 – ETA: 1s – loss: 3.8265 – acc: 0.662 – ETA: 1s – loss: 3.8361 – acc: 0.659 – ETA: 1s – loss: 3.8225 – acc: 0.655 – ETA: 1s – loss: 3.8129 – acc: 0.654 – ETA: 1s – loss: 3.7947 – acc: 0.653 – ETA: 0s – loss: 3.8044 – acc: 0.651 – ETA: 0s – loss: 3.7793 – acc: 0.652 – ETA: 0s – loss: 3.7521 – acc: 0.655 – ETA: 0s – loss: 3.7293 – acc: 0.656 – ETA: 0s – loss: 3.7587 – acc: 0.654 – ETA: 0s – loss: 3.7374 – acc: 0.653 – ETA: 0s – loss: 3.7166 – acc: 0.654 – ETA: 0s – loss: 3.6953 – acc: 0.655 – ETA: 0s – loss: 3.6700 – acc: 0.657 – ETA: 0s – loss: 3.6780 – acc: 0.656 – ETA: 0s – loss: 3.6566 – acc: 0.657 – ETA: 0s – loss: 3.6318 – acc: 0.659 – ETA: 0s – loss: 3.6182 – acc: 0.660 – ETA: 0s – loss: 3.5970 – acc: 0.661 – ETA: 0s – loss: 3.5803 – acc: 0.661 – ETA: 0s – loss: 3.5686 – acc: 0.658 – ETA: 0s – loss: 3.5848 – acc: 0.655 – 9s 16ms/step – loss: 3.5708 – acc: 0.6566 – val_loss: 1.1304 – val_acc: 0.8014
Epoch 4/4
562/562 [==============================] – ETA: 7s – loss: 1.1850 – acc: 0.500 – ETA: 7s – loss: 1.0333 – acc: 0.500 – ETA: 7s – loss: 0.9404 – acc: 0.700 – ETA: 7s – loss: 1.0202 – acc: 0.642 – ETA: 7s – loss: 0.9631 – acc: 0.666 – ETA: 7s – loss: 0.9408 – acc: 0.636 – ETA: 7s – loss: 1.0028 – acc: 0.576 – ETA: 7s – loss: 1.0017 – acc: 0.600 – ETA: 7s – loss: 0.9784 – acc: 0.617 – ETA: 7s – loss: 0.9795 – acc: 0.631 – ETA: 7s – loss: 0.9856 – acc: 0.619 – ETA: 7s – loss: 0.9912 – acc: 0.630 – ETA: 7s – loss: 0.9995 – acc: 0.640 – ETA: 6s – loss: 0.9888 – acc: 0.648 – ETA: 6s – loss: 1.0133 – acc: 0.637 – ETA: 6s – loss: 1.0039 – acc: 0.661 – ETA: 6s – loss: 1.0391 – acc: 0.651 – ETA: 6s – loss: 1.4661 – acc: 0.628 – ETA: 6s – loss: 1.4642 – acc: 0.608 – ETA: 6s – loss: 1.4378 – acc: 0.615 – ETA: 6s – loss: 1.4079 – acc: 0.609 – ETA: 6s – loss: 1.3646 – acc: 0.627 – ETA: 6s – loss: 1.3759 – acc: 0.622 – ETA: 6s – loss: 1.3416 – acc: 0.627 – ETA: 6s – loss: 1.3074 – acc: 0.642 – ETA: 6s – loss: 1.2843 – acc: 0.647 – ETA: 6s – loss: 1.3405 – acc: 0.641 – ETA: 6s – loss: 1.3105 – acc: 0.654 – ETA: 6s – loss: 1.2877 – acc: 0.657 – ETA: 6s – loss: 1.2709 – acc: 0.661 – ETA: 6s – loss: 1.2677 – acc: 0.663 – ETA: 5s – loss: 1.3763 – acc: 0.650 – ETA: 5s – loss: 1.3515 – acc: 0.661 – ETA: 5s – loss: 1.3659 – acc: 0.664 – ETA: 5s – loss: 1.3499 – acc: 0.666 – ETA: 5s – loss: 1.4016 – acc: 0.654 – ETA: 5s – loss: 1.3865 – acc: 0.657 – ETA: 5s – loss: 1.3740 – acc: 0.660 – ETA: 5s – loss: 1.3425 – acc: 0.668 – ETA: 5s – loss: 1.3670 – acc: 0.670 – ETA: 5s – loss: 1.4700 – acc: 0.666 – ETA: 5s – loss: 1.4439 – acc: 0.674 – ETA: 5s – loss: 1.4554 – acc: 0.676 – ETA: 5s – loss: 1.4455 – acc: 0.672 – ETA: 5s – loss: 1.4316 – acc: 0.674 – ETA: 5s – loss: 1.4367 – acc: 0.675 – ETA: 5s – loss: 1.4688 – acc: 0.664 – ETA: 5s – loss: 1.4540 – acc: 0.666 – ETA: 4s – loss: 1.4399 – acc: 0.668 – ETA: 4s – loss: 1.4364 – acc: 0.660 – ETA: 4s – loss: 1.4208 – acc: 0.661 – ETA: 4s – loss: 1.4159 – acc: 0.663 – ETA: 4s – loss: 1.4072 – acc: 0.665 – ETA: 4s – loss: 1.3906 – acc: 0.671 – ETA: 4s – loss: 1.3834 – acc: 0.668 – ETA: 4s – loss: 1.3772 – acc: 0.669 – ETA: 4s – loss: 1.3738 – acc: 0.671 – ETA: 4s – loss: 1.4240 – acc: 0.672 – ETA: 4s – loss: 1.4172 – acc: 0.669 – ETA: 4s – loss: 1.4286 – acc: 0.670 – ETA: 4s – loss: 1.4152 – acc: 0.672 – ETA: 4s – loss: 1.4050 – acc: 0.669 – ETA: 4s – loss: 1.3972 – acc: 0.666 – ETA: 4s – loss: 1.4426 – acc: 0.668 – ETA: 4s – loss: 1.4299 – acc: 0.665 – ETA: 4s – loss: 1.4131 – acc: 0.670 – ETA: 4s – loss: 1.4118 – acc: 0.671 – ETA: 4s – loss: 1.3951 – acc: 0.676 – ETA: 3s – loss: 1.3780 – acc: 0.681 – ETA: 3s – loss: 1.4191 – acc: 0.682 – ETA: 3s – loss: 1.4509 – acc: 0.683 – ETA: 3s – loss: 1.4958 – acc: 0.680 – ETA: 3s – loss: 1.4836 – acc: 0.681 – ETA: 3s – loss: 1.5250 – acc: 0.679 – ETA: 3s – loss: 1.5157 – acc: 0.676 – ETA: 3s – loss: 1.4981 – acc: 0.680 – ETA: 3s – loss: 1.4851 – acc: 0.681 – ETA: 3s – loss: 1.4726 – acc: 0.682 – ETA: 3s – loss: 1.4582 – acc: 0.686 – ETA: 3s – loss: 1.4560 – acc: 0.684 – ETA: 3s – loss: 1.4466 – acc: 0.685 – ETA: 3s – loss: 1.4438 – acc: 0.682 – ETA: 3s – loss: 1.4336 – acc: 0.683 – ETA: 3s – loss: 1.4246 – acc: 0.684 – ETA: 3s – loss: 1.4264 – acc: 0.682 – ETA: 3s – loss: 1.4166 – acc: 0.683 – ETA: 2s – loss: 1.4058 – acc: 0.686 – ETA: 2s – loss: 1.4027 – acc: 0.687 – ETA: 2s – loss: 1.3902 – acc: 0.691 – ETA: 2s – loss: 1.3835 – acc: 0.691 – ETA: 2s – loss: 1.3876 – acc: 0.686 – ETA: 2s – loss: 1.3814 – acc: 0.687 – ETA: 2s – loss: 1.3849 – acc: 0.685 – ETA: 2s – loss: 1.3850 – acc: 0.683 – ETA: 2s – loss: 1.3774 – acc: 0.684 – ETA: 2s – loss: 1.3699 – acc: 0.684 – ETA: 2s – loss: 1.3597 – acc: 0.688 – ETA: 2s – loss: 1.3586 – acc: 0.686 – ETA: 2s – loss: 1.3582 – acc: 0.684 – ETA: 2s – loss: 1.3510 – acc: 0.685 – ETA: 2s – loss: 1.3764 – acc: 0.680 – ETA: 2s – loss: 1.4085 – acc: 0.678 – ETA: 2s – loss: 1.4000 – acc: 0.682 – ETA: 2s – loss: 1.3985 – acc: 0.680 – ETA: 1s – loss: 1.4271 – acc: 0.681 – ETA: 1s – loss: 1.4188 – acc: 0.684 – ETA: 1s – loss: 1.4124 – acc: 0.682 – ETA: 1s – loss: 1.4086 – acc: 0.680 – ETA: 1s – loss: 1.4007 – acc: 0.683 – ETA: 1s – loss: 1.3997 – acc: 0.684 – ETA: 1s – loss: 1.3974 – acc: 0.680 – ETA: 1s – loss: 1.4240 – acc: 0.676 – ETA: 1s – loss: 1.4173 – acc: 0.677 – ETA: 1s – loss: 1.4131 – acc: 0.677 – ETA: 1s – loss: 1.4084 – acc: 0.678 – ETA: 1s – loss: 1.4027 – acc: 0.678 – ETA: 1s – loss: 1.3943 – acc: 0.681 – ETA: 1s – loss: 1.3878 – acc: 0.682 – ETA: 1s – loss: 1.3892 – acc: 0.680 – ETA: 1s – loss: 1.4169 – acc: 0.680 – ETA: 1s – loss: 1.4193 – acc: 0.677 – ETA: 1s – loss: 1.4189 – acc: 0.675 – ETA: 0s – loss: 1.4103 – acc: 0.678 – ETA: 0s – loss: 1.4006 – acc: 0.680 – ETA: 0s – loss: 1.3915 – acc: 0.682 – ETA: 0s – loss: 1.4213 – acc: 0.679 – ETA: 0s – loss: 1.4163 – acc: 0.679 – ETA: 0s – loss: 1.4158 – acc: 0.678 – ETA: 0s – loss: 1.4102 – acc: 0.678 – ETA: 0s – loss: 1.4113 – acc: 0.677 – ETA: 0s – loss: 1.4051 – acc: 0.678 – ETA: 0s – loss: 1.3998 – acc: 0.678 – ETA: 0s – loss: 1.3966 – acc: 0.677 – ETA: 0s – loss: 1.4231 – acc: 0.675 – ETA: 0s – loss: 1.4208 – acc: 0.676 – ETA: 0s – loss: 1.4091 – acc: 0.680 – ETA: 0s – loss: 1.4052 – acc: 0.680 – ETA: 0s – loss: 1.3978 – acc: 0.682 – 8s 15ms/step – loss: 1.3901 – acc: 0.6851 – val_loss: 0.8568 – val_acc: 0.7872
141/141 [==============================] – ETA: – ETA: – ETA: – ETA: – 1s 4ms/step
(563, 1612)
Train on 563 samples, validate on 140 samples
Epoch 1/4
563/563 [==============================] – ETA: 2:37 – loss: 5.6021 – acc: 0.500 – ETA: 57s – loss: 7.2527 – acc: 0.500 – ETA: 37s – loss: 8.2807 – acc: 0.30 – ETA: 28s – loss: 7.5764 – acc: 0.28 – ETA: 23s – loss: 7.9454 – acc: 0.27 – ETA: 20s – loss: 7.2959 – acc: 0.31 – ETA: 18s – loss: 6.3370 – acc: 0.38 – ETA: 17s – loss: 6.1622 – acc: 0.40 – ETA: 15s – loss: 5.6392 – acc: 0.44 – ETA: 14s – loss: 5.2187 – acc: 0.42 – ETA: 13s – loss: 4.7853 – acc: 0.45 – ETA: 13s – loss: 4.4542 – acc: 0.43 – ETA: 12s – loss: 4.1768 – acc: 0.42 – ETA: 12s – loss: 3.9780 – acc: 0.40 – ETA: 11s – loss: 3.9168 – acc: 0.41 – ETA: 11s – loss: 3.7029 – acc: 0.45 – ETA: 10s – loss: 3.5587 – acc: 0.47 – ETA: 10s – loss: 3.3719 – acc: 0.50 – ETA: 10s – loss: 3.2395 – acc: 0.51 – ETA: 9s – loss: 3.1505 – acc: 0.5250 – ETA: 9s – loss: 3.0073 – acc: 0.547 – ETA: 9s – loss: 2.8826 – acc: 0.568 – ETA: 9s – loss: 2.9343 – acc: 0.576 – ETA: 9s – loss: 2.8748 – acc: 0.583 – ETA: 8s – loss: 2.7642 – acc: 0.600 – ETA: 8s – loss: 2.6678 – acc: 0.615 – ETA: 8s – loss: 2.7247 – acc: 0.620 – ETA: 8s – loss: 2.6326 – acc: 0.633 – ETA: 8s – loss: 2.5513 – acc: 0.646 – ETA: 8s – loss: 2.5619 – acc: 0.650 – ETA: 7s – loss: 2.6108 – acc: 0.653 – ETA: 7s – loss: 2.7531 – acc: 0.648 – ETA: 7s – loss: 2.7003 – acc: 0.651 – ETA: 7s – loss: 2.6282 – acc: 0.661 – ETA: 7s – loss: 2.5653 – acc: 0.671 – ETA: 7s – loss: 2.5062 – acc: 0.680 – ETA: 7s – loss: 2.4513 – acc: 0.682 – ETA: 7s – loss: 2.4203 – acc: 0.677 – ETA: 7s – loss: 2.3721 – acc: 0.685 – ETA: 6s – loss: 2.3263 – acc: 0.687 – ETA: 6s – loss: 2.2832 – acc: 0.695 – ETA: 6s – loss: 2.2415 – acc: 0.702 – ETA: 6s – loss: 2.1962 – acc: 0.709 – ETA: 6s – loss: 2.1588 – acc: 0.710 – ETA: 6s – loss: 2.1202 – acc: 0.716 – ETA: 6s – loss: 2.0807 – acc: 0.722 – ETA: 6s – loss: 2.1034 – acc: 0.723 – ETA: 6s – loss: 2.0814 – acc: 0.724 – ETA: 6s – loss: 2.1253 – acc: 0.724 – ETA: 6s – loss: 2.0945 – acc: 0.725 – ETA: 6s – loss: 2.0815 – acc: 0.720 – ETA: 6s – loss: 2.0514 – acc: 0.726 – ETA: 5s – loss: 2.1042 – acc: 0.721 – ETA: 5s – loss: 2.0808 – acc: 0.722 – ETA: 5s – loss: 2.0543 – acc: 0.722 – ETA: 5s – loss: 2.0336 – acc: 0.723 – ETA: 5s – loss: 2.1023 – acc: 0.714 – ETA: 5s – loss: 2.0785 – acc: 0.719 – ETA: 5s – loss: 2.0525 – acc: 0.720 – ETA: 5s – loss: 2.0336 – acc: 0.720 – ETA: 5s – loss: 2.0096 – acc: 0.725 – ETA: 5s – loss: 1.9859 – acc: 0.729 – ETA: 5s – loss: 2.0245 – acc: 0.730 – ETA: 5s – loss: 2.0218 – acc: 0.730 – ETA: 5s – loss: 2.0055 – acc: 0.730 – ETA: 5s – loss: 1.9879 – acc: 0.734 – ETA: 4s – loss: 1.9634 – acc: 0.738 – ETA: 4s – loss: 1.9641 – acc: 0.739 – ETA: 4s – loss: 1.9593 – acc: 0.735 – ETA: 4s – loss: 1.9363 – acc: 0.739 – ETA: 4s – loss: 1.9285 – acc: 0.739 – ETA: 4s – loss: 1.9070 – acc: 0.743 – ETA: 4s – loss: 1.8864 – acc: 0.746 – ETA: 4s – loss: 1.9231 – acc: 0.743 – ETA: 4s – loss: 1.9010 – acc: 0.746 – ETA: 4s – loss: 1.8897 – acc: 0.746 – ETA: 4s – loss: 1.8705 – acc: 0.750 – ETA: 4s – loss: 1.9019 – acc: 0.746 – ETA: 4s – loss: 1.8850 – acc: 0.746 – ETA: 3s – loss: 1.8649 – acc: 0.750 – ETA: 3s – loss: 1.8565 – acc: 0.750 – ETA: 3s – loss: 1.8462 – acc: 0.750 – ETA: 3s – loss: 1.8941 – acc: 0.747 – ETA: 3s – loss: 1.9257 – acc: 0.744 – ETA: 3s – loss: 1.9064 – acc: 0.747 – ETA: 3s – loss: 1.9364 – acc: 0.747 – ETA: 3s – loss: 1.9229 – acc: 0.747 – ETA: 3s – loss: 1.9076 – acc: 0.750 – ETA: 3s – loss: 1.8950 – acc: 0.750 – ETA: 3s – loss: 1.8908 – acc: 0.747 – ETA: 3s – loss: 1.8789 – acc: 0.744 – ETA: 3s – loss: 1.8656 – acc: 0.744 – ETA: 3s – loss: 1.8518 – acc: 0.747 – ETA: 3s – loss: 1.8511 – acc: 0.747 – ETA: 2s – loss: 1.8350 – acc: 0.750 – ETA: 2s – loss: 1.8631 – acc: 0.747 – ETA: 2s – loss: 1.8472 – acc: 0.750 – ETA: 2s – loss: 1.8305 – acc: 0.752 – ETA: 2s – loss: 1.8308 – acc: 0.752 – ETA: 2s – loss: 1.8140 – acc: 0.755 – ETA: 2s – loss: 1.8151 – acc: 0.752 – ETA: 2s – loss: 1.8022 – acc: 0.754 – ETA: 2s – loss: 1.7923 – acc: 0.754 – ETA: 2s – loss: 1.8061 – acc: 0.752 – ETA: 2s – loss: 1.7929 – acc: 0.754 – ETA: 2s – loss: 1.7890 – acc: 0.754 – ETA: 2s – loss: 1.7766 – acc: 0.757 – ETA: 2s – loss: 1.7648 – acc: 0.759 – ETA: 2s – loss: 1.7564 – acc: 0.759 – ETA: 1s – loss: 1.7466 – acc: 0.759 – ETA: 1s – loss: 1.7443 – acc: 0.756 – ETA: 1s – loss: 1.7336 – acc: 0.758 – ETA: 1s – loss: 1.7473 – acc: 0.758 – ETA: 1s – loss: 1.7361 – acc: 0.761 – ETA: 1s – loss: 1.7609 – acc: 0.758 – ETA: 1s – loss: 1.7649 – acc: 0.754 – ETA: 1s – loss: 1.7860 – acc: 0.754 – ETA: 1s – loss: 1.7731 – acc: 0.756 – ETA: 1s – loss: 1.7746 – acc: 0.754 – ETA: 1s – loss: 1.7872 – acc: 0.752 – ETA: 1s – loss: 1.7788 – acc: 0.752 – ETA: 1s – loss: 1.7657 – acc: 0.754 – ETA: 1s – loss: 1.7539 – acc: 0.756 – ETA: 1s – loss: 1.7740 – acc: 0.756 – ETA: 0s – loss: 1.7644 – acc: 0.756 – ETA: 0s – loss: 1.7618 – acc: 0.754 – ETA: 0s – loss: 1.7518 – acc: 0.754 – ETA: 0s – loss: 1.7433 – acc: 0.754 – ETA: 0s – loss: 1.7652 – acc: 0.752 – ETA: 0s – loss: 1.7574 – acc: 0.752 – ETA: 0s – loss: 1.7463 – acc: 0.754 – ETA: 0s – loss: 1.7427 – acc: 0.754 – ETA: 0s – loss: 1.7312 – acc: 0.756 – ETA: 0s – loss: 1.7223 – acc: 0.756 – ETA: 0s – loss: 1.7216 – acc: 0.754 – ETA: 0s – loss: 1.7109 – acc: 0.756 – ETA: 0s – loss: 1.7057 – acc: 0.757 – ETA: 0s – loss: 1.7029 – acc: 0.756 – ETA: 0s – loss: 1.6964 – acc: 0.756 – ETA: 0s – loss: 1.6906 – acc: 0.756 – ETA: 0s – loss: 1.6872 – acc: 0.754 – 10s 17ms/step – loss: 1.6842 – acc: 0.7549 – val_loss: 3.0750 – val_acc: 0.5357
Epoch 2/4
563/563 [==============================] – ETA: 7s – loss: 0.4493 – acc: 1.000 – ETA: 7s – loss: 0.2967 – acc: 1.000 – ETA: 7s – loss: 0.2633 – acc: 1.000 – ETA: 7s – loss: 0.9475 – acc: 0.857 – ETA: 7s – loss: 0.8642 – acc: 0.833 – ETA: 7s – loss: 1.1743 – acc: 0.818 – ETA: 8s – loss: 1.0797 – acc: 0.833 – ETA: 8s – loss: 0.9333 – acc: 0.857 – ETA: 8s – loss: 1.3224 – acc: 0.843 – ETA: 7s – loss: 1.1770 – acc: 0.861 – ETA: 7s – loss: 1.0599 – acc: 0.875 – ETA: 7s – loss: 0.9737 – acc: 0.886 – ETA: 7s – loss: 0.8959 – acc: 0.895 – ETA: 7s – loss: 0.8284 – acc: 0.903 – ETA: 7s – loss: 0.9328 – acc: 0.892 – ETA: 7s – loss: 0.9443 – acc: 0.883 – ETA: 7s – loss: 0.9669 – acc: 0.875 – ETA: 7s – loss: 1.0002 – acc: 0.867 – ETA: 7s – loss: 1.1393 – acc: 0.861 – ETA: 7s – loss: 1.3286 – acc: 0.842 – ETA: 6s – loss: 1.5077 – acc: 0.825 – ETA: 6s – loss: 1.4682 – acc: 0.833 – ETA: 6s – loss: 1.4466 – acc: 0.829 – ETA: 6s – loss: 1.4141 – acc: 0.837 – ETA: 6s – loss: 1.3759 – acc: 0.843 – ETA: 6s – loss: 1.3575 – acc: 0.830 – ETA: 6s – loss: 1.3460 – acc: 0.817 – ETA: 6s – loss: 1.3256 – acc: 0.814 – ETA: 6s – loss: 1.3183 – acc: 0.803 – ETA: 6s – loss: 1.3105 – acc: 0.801 – ETA: 6s – loss: 1.3009 – acc: 0.800 – ETA: 6s – loss: 1.2936 – acc: 0.798 – ETA: 6s – loss: 1.3940 – acc: 0.796 – ETA: 6s – loss: 1.3904 – acc: 0.772 – ETA: 6s – loss: 1.3658 – acc: 0.779 – ETA: 5s – loss: 1.3387 – acc: 0.785 – ETA: 5s – loss: 1.3230 – acc: 0.784 – ETA: 5s – loss: 1.3060 – acc: 0.783 – ETA: 5s – loss: 1.2945 – acc: 0.782 – ETA: 5s – loss: 1.2706 – acc: 0.788 – ETA: 5s – loss: 1.2726 – acc: 0.775 – ETA: 5s – loss: 1.2487 – acc: 0.777 – ETA: 5s – loss: 1.2334 – acc: 0.776 – ETA: 5s – loss: 1.2159 – acc: 0.781 – ETA: 5s – loss: 1.1995 – acc: 0.780 – ETA: 5s – loss: 1.2033 – acc: 0.780 – ETA: 5s – loss: 1.2174 – acc: 0.768 – ETA: 5s – loss: 1.2070 – acc: 0.768 – ETA: 5s – loss: 1.1891 – acc: 0.773 – ETA: 5s – loss: 1.1859 – acc: 0.767 – ETA: 4s – loss: 1.1714 – acc: 0.767 – ETA: 4s – loss: 1.1709 – acc: 0.762 – ETA: 4s – loss: 1.1568 – acc: 0.761 – ETA: 4s – loss: 1.1534 – acc: 0.761 – ETA: 4s – loss: 1.1436 – acc: 0.761 – ETA: 4s – loss: 1.1769 – acc: 0.761 – ETA: 4s – loss: 1.1591 – acc: 0.765 – ETA: 4s – loss: 1.1415 – acc: 0.769 – ETA: 4s – loss: 1.1314 – acc: 0.766 – ETA: 4s – loss: 1.1219 – acc: 0.766 – ETA: 4s – loss: 1.1064 – acc: 0.770 – ETA: 4s – loss: 1.0905 – acc: 0.774 – ETA: 4s – loss: 1.0749 – acc: 0.777 – ETA: 4s – loss: 1.0733 – acc: 0.773 – ETA: 4s – loss: 1.1195 – acc: 0.773 – ETA: 4s – loss: 1.1208 – acc: 0.772 – ETA: 4s – loss: 1.1155 – acc: 0.768 – ETA: 3s – loss: 1.1003 – acc: 0.772 – ETA: 3s – loss: 1.0858 – acc: 0.775 – ETA: 3s – loss: 1.0752 – acc: 0.775 – ETA: 3s – loss: 1.0611 – acc: 0.778 – ETA: 3s – loss: 1.0773 – acc: 0.774 – ETA: 3s – loss: 1.0633 – acc: 0.777 – ETA: 3s – loss: 1.0508 – acc: 0.780 – ETA: 3s – loss: 1.0510 – acc: 0.776 – ETA: 3s – loss: 1.0383 – acc: 0.779 – ETA: 3s – loss: 1.0323 – acc: 0.779 – ETA: 3s – loss: 1.0204 – acc: 0.782 – ETA: 3s – loss: 1.0149 – acc: 0.781 – ETA: 3s – loss: 1.0077 – acc: 0.781 – ETA: 3s – loss: 0.9962 – acc: 0.784 – ETA: 3s – loss: 1.0002 – acc: 0.777 – ETA: 3s – loss: 0.9946 – acc: 0.777 – ETA: 3s – loss: 0.9782 – acc: 0.781 – ETA: 2s – loss: 0.9771 – acc: 0.780 – ETA: 2s – loss: 0.9863 – acc: 0.774 – ETA: 2s – loss: 0.9947 – acc: 0.768 – ETA: 2s – loss: 0.9890 – acc: 0.768 – ETA: 2s – loss: 0.9832 – acc: 0.768 – ETA: 2s – loss: 0.9778 – acc: 0.768 – ETA: 2s – loss: 0.9701 – acc: 0.770 – ETA: 2s – loss: 0.9624 – acc: 0.773 – ETA: 2s – loss: 0.9568 – acc: 0.772 – ETA: 2s – loss: 0.9546 – acc: 0.771 – ETA: 2s – loss: 0.9535 – acc: 0.770 – ETA: 2s – loss: 0.9485 – acc: 0.771 – ETA: 2s – loss: 0.9412 – acc: 0.774 – ETA: 2s – loss: 0.9365 – acc: 0.773 – ETA: 2s – loss: 0.9291 – acc: 0.776 – ETA: 2s – loss: 0.9426 – acc: 0.773 – ETA: 2s – loss: 0.9354 – acc: 0.775 – ETA: 2s – loss: 0.9463 – acc: 0.770 – ETA: 1s – loss: 0.9437 – acc: 0.770 – ETA: 1s – loss: 0.9361 – acc: 0.772 – ETA: 1s – loss: 0.9320 – acc: 0.772 – ETA: 1s – loss: 0.9247 – acc: 0.774 – ETA: 1s – loss: 0.9185 – acc: 0.776 – ETA: 1s – loss: 0.9114 – acc: 0.778 – ETA: 1s – loss: 0.9039 – acc: 0.780 – ETA: 1s – loss: 0.8966 – acc: 0.782 – ETA: 1s – loss: 0.8915 – acc: 0.782 – ETA: 1s – loss: 0.8846 – acc: 0.784 – ETA: 1s – loss: 0.8835 – acc: 0.780 – ETA: 1s – loss: 0.8860 – acc: 0.780 – ETA: 1s – loss: 0.9153 – acc: 0.777 – ETA: 1s – loss: 0.9089 – acc: 0.779 – ETA: 1s – loss: 0.9028 – acc: 0.781 – ETA: 1s – loss: 0.8965 – acc: 0.783 – ETA: 1s – loss: 0.8898 – acc: 0.785 – ETA: 1s – loss: 0.8844 – acc: 0.786 – ETA: 0s – loss: 0.8781 – acc: 0.788 – ETA: 0s – loss: 0.9044 – acc: 0.788 – ETA: 0s – loss: 0.9055 – acc: 0.788 – ETA: 0s – loss: 0.8995 – acc: 0.789 – ETA: 0s – loss: 0.8938 – acc: 0.791 – ETA: 0s – loss: 0.8975 – acc: 0.791 – ETA: 0s – loss: 0.9131 – acc: 0.788 – ETA: 0s – loss: 0.9064 – acc: 0.790 – ETA: 0s – loss: 0.9078 – acc: 0.790 – ETA: 0s – loss: 0.9018 – acc: 0.791 – ETA: 0s – loss: 0.9321 – acc: 0.787 – ETA: 0s – loss: 0.9276 – acc: 0.787 – ETA: 0s – loss: 0.9212 – acc: 0.788 – ETA: 0s – loss: 0.9236 – acc: 0.788 – ETA: 0s – loss: 0.9175 – acc: 0.790 – ETA: 0s – loss: 0.9116 – acc: 0.791 – ETA: 0s – loss: 0.9105 – acc: 0.791 – ETA: 0s – loss: 0.9124 – acc: 0.791 – 8s 15ms/step – loss: 0.9106 – acc: 0.7904 – val_loss: 2.3447 – val_acc: 0.4714
Epoch 3/4
563/563 [==============================] – ETA: 7s – loss: 0.9318 – acc: 0.500 – ETA: 7s – loss: 0.3148 – acc: 0.875 – ETA: 7s – loss: 0.2444 – acc: 0.916 – ETA: 7s – loss: 0.3949 – acc: 0.875 – ETA: 7s – loss: 0.3255 – acc: 0.900 – ETA: 6s – loss: 0.5907 – acc: 0.884 – ETA: 6s – loss: 0.5321 – acc: 0.900 – ETA: 6s – loss: 0.9574 – acc: 0.852 – ETA: 6s – loss: 0.9541 – acc: 0.842 – ETA: 6s – loss: 0.9363 – acc: 0.833 – ETA: 6s – loss: 0.8986 – acc: 0.826 – ETA: 6s – loss: 0.9146 – acc: 0.800 – ETA: 6s – loss: 0.8588 – acc: 0.814 – ETA: 6s – loss: 0.8249 – acc: 0.827 – ETA: 6s – loss: 0.9439 – acc: 0.790 – ETA: 6s – loss: 0.8931 – acc: 0.803 – ETA: 6s – loss: 0.9253 – acc: 0.800 – ETA: 6s – loss: 0.9254 – acc: 0.783 – ETA: 6s – loss: 0.9155 – acc: 0.782 – ETA: 6s – loss: 0.9254 – acc: 0.768 – ETA: 6s – loss: 0.8911 – acc: 0.779 – ETA: 6s – loss: 0.9718 – acc: 0.755 – ETA: 6s – loss: 0.9442 – acc: 0.766 – ETA: 6s – loss: 0.9398 – acc: 0.765 – ETA: 6s – loss: 0.9245 – acc: 0.764 – ETA: 6s – loss: 0.9273 – acc: 0.764 – ETA: 6s – loss: 0.9271 – acc: 0.754 – ETA: 6s – loss: 0.9039 – acc: 0.763 – ETA: 6s – loss: 0.9045 – acc: 0.762 – ETA: 6s – loss: 0.8836 – acc: 0.770 – ETA: 6s – loss: 0.8626 – acc: 0.777 – ETA: 6s – loss: 0.8483 – acc: 0.784 – ETA: 6s – loss: 0.8412 – acc: 0.783 – ETA: 6s – loss: 0.8465 – acc: 0.782 – ETA: 6s – loss: 0.8317 – acc: 0.788 – ETA: 6s – loss: 0.8255 – acc: 0.787 – ETA: 5s – loss: 0.8070 – acc: 0.793 – ETA: 5s – loss: 0.7893 – acc: 0.798 – ETA: 5s – loss: 0.7842 – acc: 0.797 – ETA: 5s – loss: 0.7700 – acc: 0.802 – ETA: 5s – loss: 0.7637 – acc: 0.801 – ETA: 5s – loss: 0.7687 – acc: 0.794 – ETA: 5s – loss: 0.7851 – acc: 0.787 – ETA: 5s – loss: 0.7915 – acc: 0.780 – ETA: 5s – loss: 0.9078 – acc: 0.769 – ETA: 5s – loss: 0.9102 – acc: 0.768 – ETA: 5s – loss: 0.9781 – acc: 0.768 – ETA: 5s – loss: 0.9602 – acc: 0.773 – ETA: 5s – loss: 0.9685 – acc: 0.767 – ETA: 5s – loss: 0.9602 – acc: 0.767 – ETA: 5s – loss: 0.9581 – acc: 0.767 – ETA: 5s – loss: 0.9656 – acc: 0.761 – ETA: 5s – loss: 0.9528 – acc: 0.766 – ETA: 4s – loss: 0.9637 – acc: 0.761 – ETA: 4s – loss: 0.9581 – acc: 0.761 – ETA: 4s – loss: 0.9505 – acc: 0.761 – ETA: 4s – loss: 1.0073 – acc: 0.760 – ETA: 4s – loss: 0.9949 – acc: 0.765 – ETA: 4s – loss: 0.9927 – acc: 0.760 – ETA: 4s – loss: 0.9889 – acc: 0.760 – ETA: 4s – loss: 1.0412 – acc: 0.760 – ETA: 4s – loss: 1.1053 – acc: 0.752 – ETA: 4s – loss: 1.0987 – acc: 0.752 – ETA: 4s – loss: 1.0896 – acc: 0.751 – ETA: 4s – loss: 1.0868 – acc: 0.751 – ETA: 4s – loss: 1.0798 – acc: 0.751 – ETA: 4s – loss: 1.0738 – acc: 0.751 – ETA: 4s – loss: 1.0658 – acc: 0.751 – ETA: 4s – loss: 1.0709 – acc: 0.748 – ETA: 3s – loss: 1.0570 – acc: 0.751 – ETA: 3s – loss: 1.0729 – acc: 0.751 – ETA: 3s – loss: 1.0632 – acc: 0.751 – ETA: 3s – loss: 1.0544 – acc: 0.751 – ETA: 3s – loss: 1.0412 – acc: 0.755 – ETA: 3s – loss: 1.0341 – acc: 0.755 – ETA: 3s – loss: 1.0212 – acc: 0.758 – ETA: 3s – loss: 1.0240 – acc: 0.754 – ETA: 3s – loss: 1.0148 – acc: 0.754 – ETA: 3s – loss: 1.0479 – acc: 0.751 – ETA: 3s – loss: 1.0471 – acc: 0.751 – ETA: 3s – loss: 1.0390 – acc: 0.751 – ETA: 3s – loss: 1.0275 – acc: 0.754 – ETA: 3s – loss: 1.0173 – acc: 0.757 – ETA: 3s – loss: 1.0160 – acc: 0.757 – ETA: 3s – loss: 1.0053 – acc: 0.760 – ETA: 3s – loss: 1.0005 – acc: 0.760 – ETA: 3s – loss: 0.9945 – acc: 0.760 – ETA: 2s – loss: 0.9948 – acc: 0.759 – ETA: 2s – loss: 0.9824 – acc: 0.763 – ETA: 2s – loss: 0.9736 – acc: 0.766 – ETA: 2s – loss: 0.9649 – acc: 0.769 – ETA: 2s – loss: 0.9556 – acc: 0.771 – ETA: 2s – loss: 0.9555 – acc: 0.766 – ETA: 2s – loss: 0.9560 – acc: 0.763 – ETA: 2s – loss: 0.9506 – acc: 0.761 – ETA: 2s – loss: 0.9422 – acc: 0.764 – ETA: 2s – loss: 0.9339 – acc: 0.766 – ETA: 2s – loss: 0.9387 – acc: 0.763 – ETA: 2s – loss: 0.9299 – acc: 0.766 – ETA: 2s – loss: 0.9612 – acc: 0.763 – ETA: 2s – loss: 0.9527 – acc: 0.765 – ETA: 2s – loss: 0.9449 – acc: 0.768 – ETA: 2s – loss: 0.9371 – acc: 0.770 – ETA: 1s – loss: 0.9291 – acc: 0.772 – ETA: 1s – loss: 0.9209 – acc: 0.774 – ETA: 1s – loss: 0.9158 – acc: 0.774 – ETA: 1s – loss: 0.9086 – acc: 0.776 – ETA: 1s – loss: 0.9529 – acc: 0.771 – ETA: 1s – loss: 0.9535 – acc: 0.771 – ETA: 1s – loss: 0.9505 – acc: 0.771 – ETA: 1s – loss: 0.9465 – acc: 0.771 – ETA: 1s – loss: 0.9500 – acc: 0.770 – ETA: 1s – loss: 0.9468 – acc: 0.770 – ETA: 1s – loss: 0.9438 – acc: 0.770 – ETA: 1s – loss: 0.9368 – acc: 0.772 – ETA: 1s – loss: 0.9297 – acc: 0.774 – ETA: 1s – loss: 0.9229 – acc: 0.776 – ETA: 1s – loss: 0.9237 – acc: 0.776 – ETA: 1s – loss: 0.9171 – acc: 0.778 – ETA: 1s – loss: 0.9107 – acc: 0.779 – ETA: 1s – loss: 0.9181 – acc: 0.777 – ETA: 0s – loss: 0.9218 – acc: 0.775 – ETA: 0s – loss: 0.9175 – acc: 0.775 – ETA: 0s – loss: 0.9114 – acc: 0.776 – ETA: 0s – loss: 0.9057 – acc: 0.778 – ETA: 0s – loss: 0.9017 – acc: 0.778 – ETA: 0s – loss: 0.8957 – acc: 0.780 – ETA: 0s – loss: 0.8927 – acc: 0.779 – ETA: 0s – loss: 0.8898 – acc: 0.779 – ETA: 0s – loss: 0.8875 – acc: 0.779 – ETA: 0s – loss: 0.8819 – acc: 0.781 – ETA: 0s – loss: 0.8821 – acc: 0.780 – ETA: 0s – loss: 0.8837 – acc: 0.780 – ETA: 0s – loss: 0.8823 – acc: 0.780 – ETA: 0s – loss: 0.8824 – acc: 0.780 – ETA: 0s – loss: 0.8752 – acc: 0.782 – ETA: 0s – loss: 0.8706 – acc: 0.784 – ETA: 0s – loss: 0.8825 – acc: 0.782 – 8s 15ms/step – loss: 0.8800 – acc: 0.7815 – val_loss: 2.1964 – val_acc: 0.4929
Epoch 4/4
563/563 [==============================] – ETA: 9s – loss: 0.1239 – acc: 1.000 – ETA: 8s – loss: 0.9693 – acc: 0.666 – ETA: 8s – loss: 1.0830 – acc: 0.700 – ETA: 8s – loss: 0.9012 – acc: 0.714 – ETA: 8s – loss: 1.1577 – acc: 0.666 – ETA: 7s – loss: 1.0632 – acc: 0.681 – ETA: 7s – loss: 0.9115 – acc: 0.730 – ETA: 7s – loss: 0.8233 – acc: 0.766 – ETA: 7s – loss: 0.7972 – acc: 0.764 – ETA: 7s – loss: 0.7240 – acc: 0.789 – ETA: 7s – loss: 0.8592 – acc: 0.785 – ETA: 7s – loss: 0.8316 – acc: 0.782 – ETA: 7s – loss: 0.7775 – acc: 0.800 – ETA: 7s – loss: 0.7310 – acc: 0.814 – ETA: 7s – loss: 0.6961 – acc: 0.827 – ETA: 7s – loss: 0.7224 – acc: 0.806 – ETA: 7s – loss: 0.6847 – acc: 0.818 – ETA: 6s – loss: 0.6813 – acc: 0.814 – ETA: 6s – loss: 0.6461 – acc: 0.824 – ETA: 6s – loss: 0.6153 – acc: 0.833 – ETA: 6s – loss: 0.5934 – acc: 0.841 – ETA: 6s – loss: 0.6263 – acc: 0.837 – ETA: 6s – loss: 0.6005 – acc: 0.844 – ETA: 6s – loss: 0.5769 – acc: 0.851 – ETA: 6s – loss: 0.6655 – acc: 0.836 – ETA: 6s – loss: 0.6612 – acc: 0.833 – ETA: 6s – loss: 0.6430 – acc: 0.833 – ETA: 6s – loss: 0.6250 – acc: 0.839 – ETA: 6s – loss: 0.6331 – acc: 0.836 – ETA: 6s – loss: 0.6306 – acc: 0.833 – ETA: 6s – loss: 0.6394 – acc: 0.830 – ETA: 5s – loss: 0.6420 – acc: 0.820 – ETA: 5s – loss: 0.6323 – acc: 0.825 – ETA: 5s – loss: 0.6179 – acc: 0.830 – ETA: 5s – loss: 0.6201 – acc: 0.828 – ETA: 5s – loss: 0.6181 – acc: 0.821 – ETA: 5s – loss: 0.6077 – acc: 0.826 – ETA: 5s – loss: 0.6189 – acc: 0.824 – ETA: 5s – loss: 0.6067 – acc: 0.829 – ETA: 5s – loss: 0.6150 – acc: 0.821 – ETA: 5s – loss: 0.6207 – acc: 0.813 – ETA: 5s – loss: 0.6304 – acc: 0.811 – ETA: 5s – loss: 0.6192 – acc: 0.816 – ETA: 5s – loss: 0.7098 – acc: 0.811 – ETA: 5s – loss: 0.7294 – acc: 0.804 – ETA: 5s – loss: 0.7238 – acc: 0.803 – ETA: 5s – loss: 0.7118 – acc: 0.807 – ETA: 4s – loss: 0.7019 – acc: 0.811 – ETA: 4s – loss: 0.6993 – acc: 0.810 – ETA: 4s – loss: 0.7401 – acc: 0.810 – ETA: 4s – loss: 0.7283 – acc: 0.814 – ETA: 4s – loss: 0.7373 – acc: 0.813 – ETA: 4s – loss: 0.7372 – acc: 0.811 – ETA: 4s – loss: 0.7704 – acc: 0.806 – ETA: 4s – loss: 0.7581 – acc: 0.809 – ETA: 4s – loss: 0.7490 – acc: 0.813 – ETA: 4s – loss: 0.7738 – acc: 0.807 – ETA: 4s – loss: 0.7723 – acc: 0.806 – ETA: 4s – loss: 0.8116 – acc: 0.801 – ETA: 4s – loss: 0.7998 – acc: 0.804 – ETA: 4s – loss: 0.7898 – acc: 0.808 – ETA: 4s – loss: 0.7807 – acc: 0.811 – ETA: 4s – loss: 0.7832 – acc: 0.806 – ETA: 4s – loss: 0.7727 – acc: 0.809 – ETA: 3s – loss: 0.7685 – acc: 0.808 – ETA: 3s – loss: 0.7731 – acc: 0.807 – ETA: 3s – loss: 0.7719 – acc: 0.806 – ETA: 3s – loss: 0.7640 – acc: 0.809 – ETA: 3s – loss: 0.7553 – acc: 0.812 – ETA: 3s – loss: 0.7459 – acc: 0.814 – ETA: 3s – loss: 0.7472 – acc: 0.813 – ETA: 3s – loss: 0.7541 – acc: 0.809 – ETA: 3s – loss: 0.7468 – acc: 0.812 – ETA: 3s – loss: 0.7652 – acc: 0.804 – ETA: 3s – loss: 0.7565 – acc: 0.807 – ETA: 3s – loss: 0.7524 – acc: 0.806 – ETA: 3s – loss: 0.7451 – acc: 0.808 – ETA: 3s – loss: 0.7503 – acc: 0.805 – ETA: 3s – loss: 0.7432 – acc: 0.807 – ETA: 3s – loss: 0.7374 – acc: 0.809 – ETA: 3s – loss: 0.7331 – acc: 0.810 – ETA: 3s – loss: 0.7463 – acc: 0.803 – ETA: 2s – loss: 0.7390 – acc: 0.805 – ETA: 2s – loss: 0.7361 – acc: 0.805 – ETA: 2s – loss: 0.7331 – acc: 0.804 – ETA: 2s – loss: 0.7412 – acc: 0.801 – ETA: 2s – loss: 0.7395 – acc: 0.801 – ETA: 2s – loss: 0.7433 – acc: 0.801 – ETA: 2s – loss: 0.7448 – acc: 0.797 – ETA: 2s – loss: 0.7385 – acc: 0.800 – ETA: 2s – loss: 0.7318 – acc: 0.802 – ETA: 2s – loss: 0.7356 – acc: 0.801 – ETA: 2s – loss: 0.7292 – acc: 0.803 – ETA: 2s – loss: 0.7270 – acc: 0.803 – ETA: 2s – loss: 0.7298 – acc: 0.802 – ETA: 2s – loss: 0.7243 – acc: 0.804 – ETA: 2s – loss: 0.7307 – acc: 0.799 – ETA: 2s – loss: 0.7247 – acc: 0.801 – ETA: 2s – loss: 0.7282 – acc: 0.800 – ETA: 2s – loss: 0.7232 – acc: 0.802 – ETA: 1s – loss: 0.7177 – acc: 0.804 – ETA: 1s – loss: 0.7378 – acc: 0.801 – ETA: 1s – loss: 0.7490 – acc: 0.798 – ETA: 1s – loss: 0.7589 – acc: 0.793 – ETA: 1s – loss: 0.7549 – acc: 0.795 – ETA: 1s – loss: 0.7583 – acc: 0.792 – ETA: 1s – loss: 0.7528 – acc: 0.794 – ETA: 1s – loss: 0.7471 – acc: 0.796 – ETA: 1s – loss: 0.7481 – acc: 0.796 – ETA: 1s – loss: 0.7425 – acc: 0.797 – ETA: 1s – loss: 0.7425 – acc: 0.797 – ETA: 1s – loss: 0.7371 – acc: 0.799 – ETA: 1s – loss: 0.7666 – acc: 0.798 – ETA: 1s – loss: 0.7955 – acc: 0.798 – ETA: 1s – loss: 0.7937 – acc: 0.797 – ETA: 1s – loss: 0.7909 – acc: 0.797 – ETA: 1s – loss: 0.8222 – acc: 0.795 – ETA: 1s – loss: 0.8157 – acc: 0.796 – ETA: 1s – loss: 0.8101 – acc: 0.798 – ETA: 0s – loss: 0.8152 – acc: 0.798 – ETA: 0s – loss: 0.8165 – acc: 0.797 – ETA: 0s – loss: 0.8181 – acc: 0.797 – ETA: 0s – loss: 0.8218 – acc: 0.794 – ETA: 0s – loss: 0.8213 – acc: 0.794 – ETA: 0s – loss: 0.8222 – acc: 0.792 – ETA: 0s – loss: 0.8169 – acc: 0.793 – ETA: 0s – loss: 0.8105 – acc: 0.794 – ETA: 0s – loss: 0.8099 – acc: 0.793 – ETA: 0s – loss: 0.8047 – acc: 0.795 – ETA: 0s – loss: 0.7999 – acc: 0.797 – ETA: 0s – loss: 0.7955 – acc: 0.798 – ETA: 0s – loss: 0.7932 – acc: 0.798 – ETA: 0s – loss: 0.7891 – acc: 0.799 – ETA: 0s – loss: 0.7927 – acc: 0.797 – ETA: 0s – loss: 0.7879 – acc: 0.798 – ETA: 0s – loss: 0.7901 – acc: 0.796 – ETA: 0s – loss: 0.7951 – acc: 0.794 – 8s 14ms/step – loss: 0.7948 – acc: 0.7940 – val_loss: 2.4970 – val_acc: 0.4571
140/140 [==============================] – ETA: – ETA: – ETA: – ETA: – 1s 4ms/step
(563, 1612)
Train on 563 samples, validate on 140 samples
Epoch 1/4
563/563 [==============================] – ETA: 2:25 – loss: 2.0875 – acc: 0.0000e+0 – ETA: 52s – loss: 4.9396 – acc: 0.1667 – ETA: 34s – loss: 3.9352 – acc: 0.10 – ETA: 26s – loss: 5.3278 – acc: 0.07 – ETA: 22s – loss: 4.3661 – acc: 0.16 – ETA: 19s – loss: 3.8632 – acc: 0.27 – ETA: 17s – loss: 3.2857 – acc: 0.38 – ETA: 15s – loss: 3.4330 – acc: 0.43 – ETA: 14s – loss: 3.5093 – acc: 0.47 – ETA: 13s – loss: 3.1411 – acc: 0.52 – ETA: 13s – loss: 2.8431 – acc: 0.57 – ETA: 12s – loss: 3.2267 – acc: 0.56 – ETA: 11s – loss: 2.9688 – acc: 0.60 – ETA: 11s – loss: 2.7847 – acc: 0.61 – ETA: 11s – loss: 2.5927 – acc: 0.63 – ETA: 10s – loss: 2.4281 – acc: 0.66 – ETA: 10s – loss: 2.4273 – acc: 0.66 – ETA: 10s – loss: 2.4532 – acc: 0.65 – ETA: 9s – loss: 2.3518 – acc: 0.6622 – ETA: 9s – loss: 2.2859 – acc: 0.641 – ETA: 9s – loss: 2.2599 – acc: 0.622 – ETA: 9s – loss: 2.2673 – acc: 0.616 – ETA: 9s – loss: 2.3426 – acc: 0.588 – ETA: 8s – loss: 2.4346 – acc: 0.585 – ETA: 8s – loss: 2.6395 – acc: 0.581 – ETA: 8s – loss: 2.5390 – acc: 0.598 – ETA: 8s – loss: 2.7491 – acc: 0.594 – ETA: 8s – loss: 2.6541 – acc: 0.609 – ETA: 8s – loss: 2.5624 – acc: 0.622 – ETA: 8s – loss: 2.5571 – acc: 0.627 – ETA: 7s – loss: 2.4785 – acc: 0.639 – ETA: 7s – loss: 2.4301 – acc: 0.642 – ETA: 7s – loss: 2.5352 – acc: 0.630 – ETA: 7s – loss: 2.4932 – acc: 0.626 – ETA: 7s – loss: 2.4572 – acc: 0.630 – ETA: 7s – loss: 2.4925 – acc: 0.619 – ETA: 7s – loss: 2.4468 – acc: 0.616 – ETA: 7s – loss: 2.4302 – acc: 0.613 – ETA: 6s – loss: 2.5052 – acc: 0.610 – ETA: 6s – loss: 2.4724 – acc: 0.607 – ETA: 6s – loss: 2.4248 – acc: 0.617 – ETA: 6s – loss: 2.5766 – acc: 0.608 – ETA: 6s – loss: 2.6885 – acc: 0.605 – ETA: 6s – loss: 2.6499 – acc: 0.609 – ETA: 6s – loss: 2.6935 – acc: 0.612 – ETA: 6s – loss: 2.6863 – acc: 0.609 – ETA: 6s – loss: 2.6537 – acc: 0.607 – ETA: 6s – loss: 2.6116 – acc: 0.615 – ETA: 6s – loss: 2.6322 – acc: 0.608 – ETA: 5s – loss: 2.5944 – acc: 0.611 – ETA: 5s – loss: 2.5712 – acc: 0.608 – ETA: 5s – loss: 2.5766 – acc: 0.601 – ETA: 5s – loss: 2.5493 – acc: 0.600 – ETA: 5s – loss: 2.5888 – acc: 0.598 – ETA: 5s – loss: 2.5626 – acc: 0.596 – ETA: 5s – loss: 2.5611 – acc: 0.585 – ETA: 5s – loss: 2.5343 – acc: 0.584 – ETA: 5s – loss: 2.5187 – acc: 0.578 – ETA: 5s – loss: 2.4970 – acc: 0.576 – ETA: 5s – loss: 2.4795 – acc: 0.571 – ETA: 5s – loss: 2.4586 – acc: 0.570 – ETA: 5s – loss: 2.4421 – acc: 0.561 – ETA: 4s – loss: 2.4321 – acc: 0.560 – ETA: 4s – loss: 2.4192 – acc: 0.563 – ETA: 4s – loss: 2.4349 – acc: 0.562 – ETA: 4s – loss: 2.4125 – acc: 0.564 – ETA: 4s – loss: 2.3940 – acc: 0.563 – ETA: 4s – loss: 2.3745 – acc: 0.558 – ETA: 4s – loss: 2.4110 – acc: 0.561 – ETA: 4s – loss: 2.3960 – acc: 0.560 – ETA: 4s – loss: 2.3797 – acc: 0.563 – ETA: 4s – loss: 2.3726 – acc: 0.562 – ETA: 4s – loss: 2.3530 – acc: 0.565 – ETA: 4s – loss: 2.3408 – acc: 0.560 – ETA: 4s – loss: 2.3265 – acc: 0.560 – ETA: 3s – loss: 2.3615 – acc: 0.559 – ETA: 3s – loss: 2.3489 – acc: 0.558 – ETA: 3s – loss: 2.3345 – acc: 0.560 – ETA: 3s – loss: 2.3195 – acc: 0.560 – ETA: 3s – loss: 2.3173 – acc: 0.556 – ETA: 3s – loss: 2.3062 – acc: 0.555 – ETA: 3s – loss: 2.2904 – acc: 0.557 – ETA: 3s – loss: 2.2695 – acc: 0.560 – ETA: 3s – loss: 2.2521 – acc: 0.565 – ETA: 3s – loss: 2.2381 – acc: 0.567 – ETA: 3s – loss: 2.2308 – acc: 0.566 – ETA: 3s – loss: 2.2144 – acc: 0.571 – ETA: 3s – loss: 2.2306 – acc: 0.571 – ETA: 3s – loss: 2.2640 – acc: 0.567 – ETA: 3s – loss: 2.2504 – acc: 0.563 – ETA: 2s – loss: 2.2451 – acc: 0.563 – ETA: 2s – loss: 2.2342 – acc: 0.562 – ETA: 2s – loss: 2.2219 – acc: 0.567 – ETA: 2s – loss: 2.2077 – acc: 0.566 – ETA: 2s – loss: 2.1960 – acc: 0.565 – ETA: 2s – loss: 2.1843 – acc: 0.562 – ETA: 2s – loss: 2.1960 – acc: 0.561 – ETA: 2s – loss: 2.1841 – acc: 0.566 – ETA: 2s – loss: 2.1702 – acc: 0.570 – ETA: 2s – loss: 2.1587 – acc: 0.572 – ETA: 2s – loss: 2.1453 – acc: 0.571 – ETA: 2s – loss: 2.1361 – acc: 0.566 – ETA: 2s – loss: 2.1356 – acc: 0.565 – ETA: 2s – loss: 2.1244 – acc: 0.564 – ETA: 2s – loss: 2.1487 – acc: 0.564 – ETA: 2s – loss: 2.1323 – acc: 0.565 – ETA: 1s – loss: 2.1227 – acc: 0.567 – ETA: 1s – loss: 2.1097 – acc: 0.569 – ETA: 1s – loss: 2.0956 – acc: 0.573 – ETA: 1s – loss: 2.0867 – acc: 0.574 – ETA: 1s – loss: 2.1329 – acc: 0.571 – ETA: 1s – loss: 2.1219 – acc: 0.573 – ETA: 1s – loss: 2.1112 – acc: 0.574 – ETA: 1s – loss: 2.1081 – acc: 0.574 – ETA: 1s – loss: 2.0920 – acc: 0.575 – ETA: 1s – loss: 2.1141 – acc: 0.576 – ETA: 1s – loss: 2.1007 – acc: 0.580 – ETA: 1s – loss: 2.0912 – acc: 0.584 – ETA: 1s – loss: 2.0823 – acc: 0.585 – ETA: 1s – loss: 2.0679 – acc: 0.586 – ETA: 1s – loss: 2.0552 – acc: 0.589 – ETA: 1s – loss: 2.0416 – acc: 0.593 – ETA: 0s – loss: 2.0615 – acc: 0.594 – ETA: 0s – loss: 2.0713 – acc: 0.593 – ETA: 0s – loss: 2.0674 – acc: 0.594 – ETA: 0s – loss: 2.0606 – acc: 0.594 – ETA: 0s – loss: 2.0427 – acc: 0.598 – ETA: 0s – loss: 2.0300 – acc: 0.601 – ETA: 0s – loss: 2.0339 – acc: 0.601 – ETA: 0s – loss: 2.0230 – acc: 0.604 – ETA: 0s – loss: 2.0142 – acc: 0.605 – ETA: 0s – loss: 2.0031 – acc: 0.606 – ETA: 0s – loss: 1.9933 – acc: 0.609 – ETA: 0s – loss: 1.9861 – acc: 0.610 – ETA: 0s – loss: 1.9791 – acc: 0.611 – ETA: 0s – loss: 1.9704 – acc: 0.612 – ETA: 0s – loss: 1.9704 – acc: 0.609 – ETA: 0s – loss: 1.9701 – acc: 0.608 – 9s 16ms/step – loss: 1.9631 – acc: 0.6110 – val_loss: 0.9175 – val_acc: 0.8143
Epoch 2/4
563/563 [==============================] – ETA: 8s – loss: 0.8458 – acc: 1.000 – ETA: 7s – loss: 1.1636 – acc: 0.666 – ETA: 7s – loss: 1.0136 – acc: 0.700 – ETA: 7s – loss: 0.9222 – acc: 0.714 – ETA: 7s – loss: 0.8496 – acc: 0.777 – ETA: 7s – loss: 0.7899 – acc: 0.818 – ETA: 7s – loss: 0.8103 – acc: 0.769 – ETA: 7s – loss: 1.2290 – acc: 0.733 – ETA: 7s – loss: 1.6330 – acc: 0.735 – ETA: 7s – loss: 1.6228 – acc: 0.684 – ETA: 7s – loss: 1.6048 – acc: 0.666 – ETA: 7s – loss: 1.8694 – acc: 0.673 – ETA: 7s – loss: 1.7954 – acc: 0.660 – ETA: 7s – loss: 1.7695 – acc: 0.666 – ETA: 7s – loss: 1.7085 – acc: 0.672 – ETA: 7s – loss: 1.7107 – acc: 0.661 – ETA: 7s – loss: 1.6587 – acc: 0.681 – ETA: 7s – loss: 1.6313 – acc: 0.685 – ETA: 7s – loss: 1.6129 – acc: 0.689 – ETA: 7s – loss: 1.5621 – acc: 0.692 – ETA: 7s – loss: 1.5197 – acc: 0.695 – ETA: 6s – loss: 1.5015 – acc: 0.686 – ETA: 6s – loss: 1.5530 – acc: 0.677 – ETA: 6s – loss: 1.5290 – acc: 0.680 – ETA: 6s – loss: 1.4839 – acc: 0.693 – ETA: 6s – loss: 1.5408 – acc: 0.676 – ETA: 6s – loss: 1.5921 – acc: 0.669 – ETA: 6s – loss: 1.5571 – acc: 0.681 – ETA: 6s – loss: 1.6635 – acc: 0.684 – ETA: 6s – loss: 1.6415 – acc: 0.686 – ETA: 6s – loss: 1.6088 – acc: 0.696 – ETA: 6s – loss: 1.5808 – acc: 0.706 – ETA: 6s – loss: 1.5535 – acc: 0.707 – ETA: 6s – loss: 1.5210 – acc: 0.716 – ETA: 6s – loss: 1.4907 – acc: 0.717 – ETA: 6s – loss: 1.4589 – acc: 0.725 – ETA: 6s – loss: 1.5434 – acc: 0.719 – ETA: 6s – loss: 1.5214 – acc: 0.726 – ETA: 6s – loss: 1.5020 – acc: 0.727 – ETA: 5s – loss: 1.4842 – acc: 0.727 – ETA: 5s – loss: 1.4784 – acc: 0.728 – ETA: 5s – loss: 1.4616 – acc: 0.728 – ETA: 5s – loss: 1.4454 – acc: 0.729 – ETA: 5s – loss: 1.4290 – acc: 0.729 – ETA: 5s – loss: 1.4317 – acc: 0.719 – ETA: 5s – loss: 1.4225 – acc: 0.714 – ETA: 5s – loss: 1.4046 – acc: 0.720 – ETA: 5s – loss: 1.4300 – acc: 0.721 – ETA: 5s – loss: 1.4175 – acc: 0.721 – ETA: 5s – loss: 1.3958 – acc: 0.727 – ETA: 5s – loss: 1.3731 – acc: 0.732 – ETA: 5s – loss: 1.4326 – acc: 0.718 – ETA: 5s – loss: 1.4241 – acc: 0.714 – ETA: 5s – loss: 1.4632 – acc: 0.705 – ETA: 5s – loss: 1.4452 – acc: 0.711 – ETA: 5s – loss: 1.4338 – acc: 0.711 – ETA: 4s – loss: 1.4169 – acc: 0.716 – ETA: 4s – loss: 1.4531 – acc: 0.713 – ETA: 4s – loss: 1.4357 – acc: 0.717 – ETA: 4s – loss: 1.4239 – acc: 0.718 – ETA: 4s – loss: 1.4221 – acc: 0.714 – ETA: 4s – loss: 1.4167 – acc: 0.711 – ETA: 4s – loss: 1.4033 – acc: 0.712 – ETA: 4s – loss: 1.3982 – acc: 0.708 – ETA: 4s – loss: 1.3875 – acc: 0.709 – ETA: 4s – loss: 1.3796 – acc: 0.709 – ETA: 4s – loss: 1.3645 – acc: 0.714 – ETA: 4s – loss: 1.3650 – acc: 0.707 – ETA: 4s – loss: 1.3590 – acc: 0.704 – ETA: 4s – loss: 1.3551 – acc: 0.705 – ETA: 4s – loss: 1.3484 – acc: 0.705 – ETA: 4s – loss: 1.4145 – acc: 0.699 – ETA: 3s – loss: 1.4086 – acc: 0.696 – ETA: 3s – loss: 1.3997 – acc: 0.697 – ETA: 3s – loss: 1.3896 – acc: 0.701 – ETA: 3s – loss: 1.3800 – acc: 0.702 – ETA: 3s – loss: 1.3786 – acc: 0.699 – ETA: 3s – loss: 1.3668 – acc: 0.703 – ETA: 3s – loss: 1.3600 – acc: 0.703 – ETA: 3s – loss: 1.3592 – acc: 0.701 – ETA: 3s – loss: 1.3501 – acc: 0.705 – ETA: 3s – loss: 1.3428 – acc: 0.705 – ETA: 3s – loss: 1.3355 – acc: 0.706 – ETA: 3s – loss: 1.3346 – acc: 0.706 – ETA: 3s – loss: 1.3280 – acc: 0.707 – ETA: 3s – loss: 1.3213 – acc: 0.707 – ETA: 3s – loss: 1.3146 – acc: 0.708 – ETA: 3s – loss: 1.3088 – acc: 0.708 – ETA: 3s – loss: 1.2991 – acc: 0.711 – ETA: 2s – loss: 1.2897 – acc: 0.715 – ETA: 2s – loss: 1.2828 – acc: 0.715 – ETA: 2s – loss: 1.2808 – acc: 0.713 – ETA: 2s – loss: 1.2734 – acc: 0.713 – ETA: 2s – loss: 1.2620 – acc: 0.716 – ETA: 2s – loss: 1.2749 – acc: 0.711 – ETA: 2s – loss: 1.2653 – acc: 0.714 – ETA: 2s – loss: 1.2649 – acc: 0.715 – ETA: 2s – loss: 1.2557 – acc: 0.717 – ETA: 2s – loss: 1.2568 – acc: 0.715 – ETA: 2s – loss: 1.2555 – acc: 0.711 – ETA: 2s – loss: 1.2553 – acc: 0.709 – ETA: 2s – loss: 1.2720 – acc: 0.704 – ETA: 2s – loss: 1.2658 – acc: 0.704 – ETA: 2s – loss: 1.2585 – acc: 0.705 – ETA: 2s – loss: 1.2546 – acc: 0.703 – ETA: 2s – loss: 1.2503 – acc: 0.701 – ETA: 1s – loss: 1.2500 – acc: 0.697 – ETA: 1s – loss: 1.2429 – acc: 0.700 – ETA: 1s – loss: 1.2722 – acc: 0.700 – ETA: 1s – loss: 1.2648 – acc: 0.703 – ETA: 1s – loss: 1.2581 – acc: 0.705 – ETA: 1s – loss: 1.2517 – acc: 0.708 – ETA: 1s – loss: 1.2572 – acc: 0.706 – ETA: 1s – loss: 1.2520 – acc: 0.707 – ETA: 1s – loss: 1.2444 – acc: 0.709 – ETA: 1s – loss: 1.2448 – acc: 0.707 – ETA: 1s – loss: 1.2409 – acc: 0.708 – ETA: 1s – loss: 1.2395 – acc: 0.708 – ETA: 1s – loss: 1.2339 – acc: 0.711 – ETA: 1s – loss: 1.2614 – acc: 0.709 – ETA: 1s – loss: 1.2562 – acc: 0.709 – ETA: 1s – loss: 1.2595 – acc: 0.709 – ETA: 1s – loss: 1.2581 – acc: 0.708 – ETA: 0s – loss: 1.2556 – acc: 0.708 – ETA: 0s – loss: 1.2565 – acc: 0.706 – ETA: 0s – loss: 1.2526 – acc: 0.707 – ETA: 0s – loss: 1.2547 – acc: 0.705 – ETA: 0s – loss: 1.2782 – acc: 0.705 – ETA: 0s – loss: 1.2743 – acc: 0.706 – ETA: 0s – loss: 1.2677 – acc: 0.708 – ETA: 0s – loss: 1.2686 – acc: 0.705 – ETA: 0s – loss: 1.2729 – acc: 0.703 – ETA: 0s – loss: 1.2658 – acc: 0.705 – ETA: 0s – loss: 1.2614 – acc: 0.706 – ETA: 0s – loss: 1.2601 – acc: 0.704 – ETA: 0s – loss: 1.2541 – acc: 0.706 – ETA: 0s – loss: 1.2502 – acc: 0.707 – ETA: 0s – loss: 1.2452 – acc: 0.707 – ETA: 0s – loss: 1.2429 – acc: 0.707 – ETA: 0s – loss: 1.2399 – acc: 0.707 – ETA: 0s – loss: 1.2419 – acc: 0.706 – 9s 15ms/step – loss: 1.2401 – acc: 0.7069 – val_loss: 0.6522 – val_acc: 0.8143
Epoch 3/4
563/563 [==============================] – ETA: 7s – loss: 0.2743 – acc: 1.000 – ETA: 8s – loss: 0.1720 – acc: 1.000 – ETA: 8s – loss: 0.2006 – acc: 1.000 – ETA: 8s – loss: 0.5809 – acc: 0.785 – ETA: 7s – loss: 0.5028 – acc: 0.833 – ETA: 7s – loss: 0.5243 – acc: 0.818 – ETA: 7s – loss: 0.6193 – acc: 0.769 – ETA: 7s – loss: 0.5610 – acc: 0.800 – ETA: 8s – loss: 0.6272 – acc: 0.794 – ETA: 7s – loss: 0.7079 – acc: 0.736 – ETA: 7s – loss: 0.8628 – acc: 0.690 – ETA: 7s – loss: 0.8637 – acc: 0.673 – ETA: 7s – loss: 0.8856 – acc: 0.680 – ETA: 7s – loss: 0.9307 – acc: 0.666 – ETA: 7s – loss: 0.8897 – acc: 0.689 – ETA: 7s – loss: 1.1591 – acc: 0.661 – ETA: 7s – loss: 1.1062 – acc: 0.681 – ETA: 7s – loss: 1.1124 – acc: 0.671 – ETA: 7s – loss: 1.1153 – acc: 0.662 – ETA: 7s – loss: 1.0989 – acc: 0.653 – ETA: 7s – loss: 1.0725 – acc: 0.658 – ETA: 6s – loss: 1.0506 – acc: 0.662 – ETA: 6s – loss: 1.0328 – acc: 0.666 – ETA: 6s – loss: 1.1030 – acc: 0.659 – ETA: 6s – loss: 1.0793 – acc: 0.663 – ETA: 6s – loss: 1.0845 – acc: 0.647 – ETA: 6s – loss: 1.0684 – acc: 0.650 – ETA: 6s – loss: 1.0417 – acc: 0.663 – ETA: 6s – loss: 1.0234 – acc: 0.666 – ETA: 6s – loss: 1.0374 – acc: 0.669 – ETA: 6s – loss: 1.0168 – acc: 0.680 – ETA: 6s – loss: 0.9947 – acc: 0.690 – ETA: 6s – loss: 0.9966 – acc: 0.692 – ETA: 6s – loss: 0.9940 – acc: 0.686 – ETA: 6s – loss: 0.9962 – acc: 0.688 – ETA: 6s – loss: 1.1116 – acc: 0.676 – ETA: 6s – loss: 1.0866 – acc: 0.684 – ETA: 6s – loss: 1.0722 – acc: 0.686 – ETA: 6s – loss: 1.0644 – acc: 0.681 – ETA: 5s – loss: 1.1011 – acc: 0.670 – ETA: 5s – loss: 1.0964 – acc: 0.666 – ETA: 5s – loss: 1.0825 – acc: 0.668 – ETA: 5s – loss: 1.0627 – acc: 0.676 – ETA: 5s – loss: 1.0421 – acc: 0.683 – ETA: 5s – loss: 1.0258 – acc: 0.691 – ETA: 5s – loss: 1.0203 – acc: 0.692 – ETA: 5s – loss: 1.0389 – acc: 0.688 – ETA: 5s – loss: 1.0295 – acc: 0.689 – ETA: 5s – loss: 1.0377 – acc: 0.680 – ETA: 5s – loss: 1.0656 – acc: 0.681 – ETA: 5s – loss: 1.0762 – acc: 0.673 – ETA: 5s – loss: 1.0682 – acc: 0.674 – ETA: 5s – loss: 1.0664 – acc: 0.671 – ETA: 5s – loss: 1.1126 – acc: 0.672 – ETA: 5s – loss: 1.1114 – acc: 0.674 – ETA: 5s – loss: 1.1269 – acc: 0.671 – ETA: 5s – loss: 1.1178 – acc: 0.677 – ETA: 5s – loss: 1.1091 – acc: 0.682 – ETA: 4s – loss: 1.1011 – acc: 0.683 – ETA: 4s – loss: 1.0960 – acc: 0.684 – ETA: 4s – loss: 1.0936 – acc: 0.686 – ETA: 4s – loss: 1.0877 – acc: 0.687 – ETA: 4s – loss: 1.0745 – acc: 0.692 – ETA: 4s – loss: 1.0666 – acc: 0.692 – ETA: 4s – loss: 1.0644 – acc: 0.689 – ETA: 4s – loss: 1.0568 – acc: 0.690 – ETA: 4s – loss: 1.0459 – acc: 0.695 – ETA: 4s – loss: 1.0530 – acc: 0.692 – ETA: 4s – loss: 1.0498 – acc: 0.689 – ETA: 4s – loss: 1.0470 – acc: 0.690 – ETA: 4s – loss: 1.0385 – acc: 0.695 – ETA: 4s – loss: 1.0377 – acc: 0.692 – ETA: 4s – loss: 1.0505 – acc: 0.689 – ETA: 4s – loss: 1.0445 – acc: 0.690 – ETA: 3s – loss: 1.0356 – acc: 0.691 – ETA: 3s – loss: 1.0309 – acc: 0.692 – ETA: 3s – loss: 1.0298 – acc: 0.689 – ETA: 3s – loss: 1.0242 – acc: 0.690 – ETA: 3s – loss: 1.0339 – acc: 0.684 – ETA: 3s – loss: 1.0244 – acc: 0.688 – ETA: 3s – loss: 1.0202 – acc: 0.686 – ETA: 3s – loss: 1.0167 – acc: 0.687 – ETA: 3s – loss: 1.0310 – acc: 0.678 – ETA: 3s – loss: 1.0346 – acc: 0.679 – ETA: 3s – loss: 1.0296 – acc: 0.683 – ETA: 3s – loss: 1.0213 – acc: 0.687 – ETA: 3s – loss: 1.0168 – acc: 0.687 – ETA: 3s – loss: 1.0181 – acc: 0.688 – ETA: 3s – loss: 1.0147 – acc: 0.689 – ETA: 3s – loss: 1.0116 – acc: 0.689 – ETA: 3s – loss: 1.0213 – acc: 0.685 – ETA: 2s – loss: 1.0150 – acc: 0.688 – ETA: 2s – loss: 1.0115 – acc: 0.689 – ETA: 2s – loss: 1.0170 – acc: 0.687 – ETA: 2s – loss: 1.0182 – acc: 0.687 – ETA: 2s – loss: 1.0595 – acc: 0.685 – ETA: 2s – loss: 1.0524 – acc: 0.689 – ETA: 2s – loss: 1.0581 – acc: 0.684 – ETA: 2s – loss: 1.0930 – acc: 0.682 – ETA: 2s – loss: 1.0855 – acc: 0.685 – ETA: 2s – loss: 1.0821 – acc: 0.686 – ETA: 2s – loss: 1.0844 – acc: 0.684 – ETA: 2s – loss: 1.0852 – acc: 0.682 – ETA: 2s – loss: 1.0780 – acc: 0.686 – ETA: 2s – loss: 1.0796 – acc: 0.684 – ETA: 2s – loss: 1.0728 – acc: 0.687 – ETA: 2s – loss: 1.0702 – acc: 0.687 – ETA: 1s – loss: 1.0666 – acc: 0.688 – ETA: 1s – loss: 1.0602 – acc: 0.691 – ETA: 1s – loss: 1.0923 – acc: 0.689 – ETA: 1s – loss: 1.0898 – acc: 0.690 – ETA: 1s – loss: 1.0829 – acc: 0.690 – ETA: 1s – loss: 1.0844 – acc: 0.688 – ETA: 1s – loss: 1.0846 – acc: 0.689 – ETA: 1s – loss: 1.0895 – acc: 0.685 – ETA: 1s – loss: 1.0819 – acc: 0.688 – ETA: 1s – loss: 1.0802 – acc: 0.686 – ETA: 1s – loss: 1.0769 – acc: 0.687 – ETA: 1s – loss: 1.0767 – acc: 0.687 – ETA: 1s – loss: 1.0741 – acc: 0.688 – ETA: 1s – loss: 1.0715 – acc: 0.688 – ETA: 1s – loss: 1.0678 – acc: 0.689 – ETA: 1s – loss: 1.0929 – acc: 0.689 – ETA: 1s – loss: 1.1206 – acc: 0.688 – ETA: 0s – loss: 1.1129 – acc: 0.690 – ETA: 0s – loss: 1.1096 – acc: 0.691 – ETA: 0s – loss: 1.1062 – acc: 0.691 – ETA: 0s – loss: 1.0989 – acc: 0.694 – ETA: 0s – loss: 1.0955 – acc: 0.694 – ETA: 0s – loss: 1.0890 – acc: 0.696 – ETA: 0s – loss: 1.0849 – acc: 0.697 – ETA: 0s – loss: 1.0813 – acc: 0.697 – ETA: 0s – loss: 1.0750 – acc: 0.700 – ETA: 0s – loss: 1.0737 – acc: 0.698 – ETA: 0s – loss: 1.0705 – acc: 0.698 – ETA: 0s – loss: 1.0688 – acc: 0.699 – ETA: 0s – loss: 1.0677 – acc: 0.699 – ETA: 0s – loss: 1.0786 – acc: 0.698 – ETA: 0s – loss: 1.0756 – acc: 0.698 – ETA: 0s – loss: 1.0687 – acc: 0.700 – ETA: 0s – loss: 1.0629 – acc: 0.702 – 9s 16ms/step – loss: 1.0615 – acc: 0.7034 – val_loss: 0.6409 – val_acc: 0.8000
Epoch 4/4
563/563 [==============================] – ETA: 7s – loss: 3.1975 – acc: 0.0000e+0 – ETA: 8s – loss: 1.9594 – acc: 0.3333 – ETA: 7s – loss: 1.8133 – acc: 0.300 – ETA: 7s – loss: 1.4628 – acc: 0.428 – ETA: 7s – loss: 1.2368 – acc: 0.500 – ETA: 8s – loss: 1.1904 – acc: 0.545 – ETA: 7s – loss: 1.2247 – acc: 0.538 – ETA: 7s – loss: 1.1449 – acc: 0.566 – ETA: 7s – loss: 1.0971 – acc: 0.588 – ETA: 7s – loss: 1.0609 – acc: 0.605 – ETA: 7s – loss: 1.1112 – acc: 0.595 – ETA: 7s – loss: 1.0972 – acc: 0.587 – ETA: 7s – loss: 1.1088 – acc: 0.580 – ETA: 7s – loss: 1.0510 – acc: 0.611 – ETA: 7s – loss: 0.9915 – acc: 0.637 – ETA: 7s – loss: 0.9462 – acc: 0.661 – ETA: 7s – loss: 0.9453 – acc: 0.651 – ETA: 7s – loss: 0.9057 – acc: 0.671 – ETA: 7s – loss: 1.0838 – acc: 0.675 – ETA: 6s – loss: 1.0610 – acc: 0.679 – ETA: 6s – loss: 1.0271 – acc: 0.695 – ETA: 6s – loss: 1.2062 – acc: 0.686 – ETA: 6s – loss: 1.1623 – acc: 0.700 – ETA: 6s – loss: 1.1233 – acc: 0.712 – ETA: 6s – loss: 1.1146 – acc: 0.714 – ETA: 6s – loss: 1.1115 – acc: 0.705 – ETA: 6s – loss: 1.0887 – acc: 0.707 – ETA: 6s – loss: 1.0715 – acc: 0.709 – ETA: 6s – loss: 1.0577 – acc: 0.710 – ETA: 6s – loss: 1.0319 – acc: 0.720 – ETA: 6s – loss: 1.1372 – acc: 0.721 – ETA: 6s – loss: 1.1095 – acc: 0.730 – ETA: 6s – loss: 1.0950 – acc: 0.730 – ETA: 6s – loss: 1.0694 – acc: 0.738 – ETA: 6s – loss: 1.0438 – acc: 0.746 – ETA: 6s – loss: 1.0585 – acc: 0.732 – ETA: 6s – loss: 1.0530 – acc: 0.732 – ETA: 6s – loss: 1.0959 – acc: 0.720 – ETA: 5s – loss: 1.1039 – acc: 0.707 – ETA: 5s – loss: 1.1132 – acc: 0.708 – ETA: 5s – loss: 1.1218 – acc: 0.703 – ETA: 5s – loss: 1.1209 – acc: 0.704 – ETA: 5s – loss: 1.1023 – acc: 0.711 – ETA: 5s – loss: 1.0938 – acc: 0.712 – ETA: 5s – loss: 1.0851 – acc: 0.713 – ETA: 5s – loss: 1.0965 – acc: 0.703 – ETA: 5s – loss: 1.0785 – acc: 0.709 – ETA: 5s – loss: 1.0844 – acc: 0.705 – ETA: 5s – loss: 1.0888 – acc: 0.701 – ETA: 5s – loss: 1.0872 – acc: 0.697 – ETA: 5s – loss: 1.0759 – acc: 0.698 – ETA: 5s – loss: 1.0726 – acc: 0.699 – ETA: 5s – loss: 1.0761 – acc: 0.690 – ETA: 5s – loss: 1.0677 – acc: 0.696 – ETA: 4s – loss: 1.0604 – acc: 0.697 – ETA: 4s – loss: 1.0469 – acc: 0.702 – ETA: 4s – loss: 1.0379 – acc: 0.703 – ETA: 4s – loss: 1.0270 – acc: 0.704 – ETA: 4s – loss: 1.0164 – acc: 0.709 – ETA: 4s – loss: 1.0048 – acc: 0.714 – ETA: 4s – loss: 0.9954 – acc: 0.719 – ETA: 4s – loss: 1.0066 – acc: 0.715 – ETA: 4s – loss: 1.0009 – acc: 0.716 – ETA: 4s – loss: 1.0018 – acc: 0.712 – ETA: 4s – loss: 1.0001 – acc: 0.709 – ETA: 4s – loss: 0.9886 – acc: 0.713 – ETA: 4s – loss: 0.9881 – acc: 0.714 – ETA: 4s – loss: 0.9918 – acc: 0.711 – ETA: 4s – loss: 0.9804 – acc: 0.715 – ETA: 4s – loss: 0.9696 – acc: 0.719 – ETA: 4s – loss: 0.9646 – acc: 0.719 – ETA: 4s – loss: 0.9552 – acc: 0.723 – ETA: 3s – loss: 0.9561 – acc: 0.720 – ETA: 3s – loss: 0.9590 – acc: 0.717 – ETA: 3s – loss: 0.9602 – acc: 0.714 – ETA: 3s – loss: 0.9669 – acc: 0.711 – ETA: 3s – loss: 0.9677 – acc: 0.709 – ETA: 3s – loss: 0.9653 – acc: 0.709 – ETA: 3s – loss: 0.9554 – acc: 0.713 – ETA: 3s – loss: 0.9463 – acc: 0.717 – ETA: 3s – loss: 0.9370 – acc: 0.720 – ETA: 3s – loss: 0.9448 – acc: 0.717 – ETA: 3s – loss: 0.9477 – acc: 0.715 – ETA: 3s – loss: 0.9405 – acc: 0.718 – ETA: 3s – loss: 0.9399 – acc: 0.716 – ETA: 3s – loss: 0.9399 – acc: 0.713 – ETA: 3s – loss: 0.9357 – acc: 0.713 – ETA: 3s – loss: 0.9280 – acc: 0.717 – ETA: 3s – loss: 0.9590 – acc: 0.714 – ETA: 2s – loss: 0.9608 – acc: 0.712 – ETA: 2s – loss: 0.9586 – acc: 0.712 – ETA: 2s – loss: 0.9542 – acc: 0.713 – ETA: 2s – loss: 0.9732 – acc: 0.708 – ETA: 2s – loss: 0.9681 – acc: 0.708 – ETA: 2s – loss: 0.9649 – acc: 0.709 – ETA: 2s – loss: 0.9628 – acc: 0.709 – ETA: 2s – loss: 0.9629 – acc: 0.707 – ETA: 2s – loss: 0.9718 – acc: 0.702 – ETA: 2s – loss: 0.9662 – acc: 0.705 – ETA: 2s – loss: 0.9623 – acc: 0.706 – ETA: 2s – loss: 0.9777 – acc: 0.706 – ETA: 2s – loss: 0.9856 – acc: 0.699 – ETA: 2s – loss: 0.9853 – acc: 0.700 – ETA: 2s – loss: 0.9875 – acc: 0.698 – ETA: 2s – loss: 0.9844 – acc: 0.698 – ETA: 2s – loss: 0.9817 – acc: 0.699 – ETA: 2s – loss: 0.9751 – acc: 0.701 – ETA: 1s – loss: 0.9713 – acc: 0.702 – ETA: 1s – loss: 0.9714 – acc: 0.700 – ETA: 1s – loss: 0.9658 – acc: 0.703 – ETA: 1s – loss: 0.9949 – acc: 0.703 – ETA: 1s – loss: 0.9911 – acc: 0.704 – ETA: 1s – loss: 0.9919 – acc: 0.704 – ETA: 1s – loss: 0.9869 – acc: 0.704 – ETA: 1s – loss: 0.9907 – acc: 0.703 – ETA: 1s – loss: 0.9899 – acc: 0.701 – ETA: 1s – loss: 0.9854 – acc: 0.701 – ETA: 1s – loss: 0.9888 – acc: 0.700 – ETA: 1s – loss: 0.9836 – acc: 0.700 – ETA: 1s – loss: 0.9786 – acc: 0.702 – ETA: 1s – loss: 0.9729 – acc: 0.705 – ETA: 1s – loss: 0.9771 – acc: 0.703 – ETA: 1s – loss: 0.9810 – acc: 0.700 – ETA: 1s – loss: 0.9831 – acc: 0.696 – ETA: 0s – loss: 0.9771 – acc: 0.698 – ETA: 0s – loss: 0.9716 – acc: 0.701 – ETA: 0s – loss: 0.9680 – acc: 0.701 – ETA: 0s – loss: 0.9647 – acc: 0.702 – ETA: 0s – loss: 0.9587 – acc: 0.704 – ETA: 0s – loss: 0.9574 – acc: 0.704 – ETA: 0s – loss: 0.9519 – acc: 0.706 – ETA: 0s – loss: 0.9550 – acc: 0.707 – ETA: 0s – loss: 0.9551 – acc: 0.707 – ETA: 0s – loss: 0.9559 – acc: 0.704 – ETA: 0s – loss: 0.9510 – acc: 0.706 – ETA: 0s – loss: 0.9461 – acc: 0.708 – ETA: 0s – loss: 0.9426 – acc: 0.708 – ETA: 0s – loss: 0.9373 – acc: 0.710 – ETA: 0s – loss: 0.9344 – acc: 0.711 – ETA: 0s – loss: 0.9337 – acc: 0.711 – ETA: 0s – loss: 0.9353 – acc: 0.710 – 9s 16ms/step – loss: 0.9339 – acc: 0.7105 – val_loss: 0.4991 – val_acc: 0.8143
140/140 [==============================] – ETA: – ETA: – ETA: – ETA: – 1s 4ms/step

plot cnn fig¶

In [11]:

get_plot_fin(y, train_meta, n_classes, ‘cnn roc’)

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